Data Extraction Jobs

I’m looking for a fast, reliable way to pull company contact details straight from the official exchange sites — and nseindia.com. The goal is to capture every listed company’s publicly annoucements and save them into a database. The script should run everyday and collect below: The scripcode from NSE and BSE Categoryname of the annoucement The weblink to the announcement bseindia and nseindia may have their own api which can be used. Links to NSEIndia: (SME tab) Link To BSEIndia Annoucements: Deliverables • A runnable Python script which gives insert SQLs to to updated in DB. I’ll verify the work by cross-checking a random sample of companies against the live pages, so accuracy and field completeness matter more than raw speed.

I need a reliable freelancer to perform manual data entry of text-only information. I will supply clear source documents; your job is to transfer every character accurately into the template I provide (Excel or Google Sheets—your choice, as long as the layout matches mine). Quality matters more than speed. Before marking the job complete, I will spot-check for: • 100 % fidelity to the original wording, spelling, and punctuation • Consistent formatting (no extra line breaks or tabs) • Correct placement of each field in its designated column or cell When you submit your proposal, please emphasise your relevant experience—tell me about similar manual text data projects you have handled, the volume you managed, and any accuracy benchmarks you achieved. A conc...

I have two related data-prep tasks that need to flow into one clean Excel workbook. 1. Several PDF files contain structured forms and typed entries. I want every field captured accurately and placed into clearly-labelled columns in Excel—no images, just usable text values. 2. From one public website, I only need the visible text content (no images or charts). The pages are standard HTML. Pull that text, keep its section headings intact, and add it to separate sheets in the same workbook so I can cross-reference it later. Please automate both steps—Python with pandas, Beautiful Soup, or any reliable toolset is fine—as long as I receive: • A single XLSX file with separate sheets for: – each PDF form dataset – each scraped web page’s text ...

I need all information contained in a set of scanned PDF files moved into a clean, well-structured Excel workbook. The pages include paragraphs, tables and assorted numeric fields, so both text and figures must be captured exactly as they appear. The scans are image-only, which means you may use OCR, but every entry must still be double-checked manually—I will be running calculations on the sheet and cannot afford transcription errors. Please keep the original order of items, respect headings and sub-headings, and maintain number formats (dates, currency, percentages, plain numbers) so that formulas work straight away. Deliverable • One .xlsx file with all mixed-content data from the PDFs, formatted consistently and ready for immediate use. When you respond, briefly outli...

I have a batch of PDF files laid out in neat, table-style columns. Every image that appears—whether it sits in a header cell, a product row, or a footer—needs to be pulled out cleanly and loss-free. Your task is to: • Save each image as an individual PNG (or high-quality JPG if transparency is absent) using a tidy, logical file-naming convention that ties back to the source file. • Build a companion Excel/CSV sheet. For every saved image, note the original PDF name, page number, table/row reference if visible, and the exact file name you created. Consistency is critical: no skipped graphics, no duplicate captures, and no down-sampling. If an image is repeated across pages, record it once and flag its additional appearances in the sheet. I’ll provide the PDF...

I have a batch of paper forms—mostly invoices and order sheets—containing thousands of numeric fields that must be transferred directly into our client-facing database. You’ll be working from high-resolution scans that I’ll supply in PDF format. Each document follows the same layout, so once you understand the field order the process is straightforward, but absolute accuracy is critical; even a single misplaced digit can throw off our reporting. You’ll receive: • A folder of the scanned documents • A web login to the database interface with clear field labels and example entries • A short style guide that explains how to handle illegible characters, missing values, and verification steps Your job is to key every numeric value from the ...

I need a detail-oriented freelancer who can extract and accurately type textual information found on a set of specified websites into a structured format. The priority is data entry—no numbers, only words, sentences, or paragraphs exactly as they appear online. You will receive a list of URLs along with simple field guidelines (e.g., title, description, author). Your task is to capture the text verbatim, paste or type it into the template I provide (typically a Google Sheet or Excel file), and double-check for spelling or formatting inconsistencies introduced during the copy process. Reliability and consistency matter more to me than speed; I would rather receive a smaller batch that is 100 % accurate than a large batch that needs rework. If this first round goes smoothly, I may a...

## Freelancer Required: PDF Data Extraction and Excel Automation Website I am looking for a freelancer with strong programming skills to develop a website that can extract data from PDF reports in a **fixed, predefined format** and automatically enter the extracted values into a formula-based Excel sheet. ### Project Requirements - Develop a user-friendly website where I can upload PDF files and digitise the required data. - Extract specific values from the PDFs according to the format I will provide. - Transfer the extracted values into the appropriate cells of an Excel sheet containing predefined formulas. - Allow flexibility to modify formulas, select the Excel template to be used, and make other minor adjustments before finalising the data. - Ensure the extracted values are entered ...

I have a series of PDFs that contain both text and numerical fields. Your task is to move that mixed data into a single Excel workbook, matching the exact order it appears in each source file. Basic formatting is all that’s needed—clean column alignment, consistent number formats, and clear header rows—no advanced formulas or styling. Accuracy is critical; what is on the PDF must land in the right cell without omissions or transcription errors. When you finish, I expect a .xlsx file that mirrors every page of the PDFs and is ready for immediate internal use.

I have a batch of Indeed personal data sheets—each one a PDF—covering job applications submitted between February 26 and August 26. Every file holds the standard job application details (applicant name, date, position applied for, and any other fields Indeed includes). I need all of that information pulled into a single Excel workbook and sorted strictly by application date so I can filter and analyse the recruiting pipeline without opening dozens of documents. You are free to rely on Python (tabula-pdf, camelot, PyPDF2), Adobe Acrobat, or any comparable OCR/data-capture tool, provided the final spreadsheet is clean and complete. Misspellings, truncated lines, or date-format inconsistencies will be rejected, so a light manual pass after automation is perfectly acceptable. Del...

I have to compile a clean, structured dataset from the Ministry of Corporate Affairs portal and need a specialist who can quickly pull the exact fields I require from the two annual filings: • From MGT-7: current shareholding pattern and the key financial figures filed for the year • From AOC-4: the latest company profile information together with the list of directors The final deliverable should be an Excel or CSV file where each company occupies one row and the above data points sit in clearly labelled columns. If you would like to automate the process, feel free to use Python, pandas, Beautiful Soup, Selenium, or any other stack you are comfortable with—just ensure the script can be rerun should I need an update later. Accuracy is critical; every figure must matc...

I need a clean, consolidated CSV that pulls the latest Company Details available on India’s MCA portal. The scope is limited to three data groups—registration information, director details, and financial statements—for a set of companies I will share once we start. I am not interested in any other MCA datasets right now; documents and master data can be ignored unless they are essential for completing the three sections above. Accuracy and consistency are more important than volume, so please ensure the figures and director names exactly match what is published on the MCA site. Deliverables: • One UTF-8 encoded CSV containing separate, clearly labeled columns for all requested fields • A brief note on the extraction method (manual download, API, automa...

This is a QUICK project. A couple of hours. I need a Excel sheet that captures email addresses taken directly from LinkedIn profiles. Every email must be sourced only from the profile itself—no outside databases or enrichment tools—so the sheet can be traced back to verifiable LinkedIn URLs. Alongside the email, please include the profile link and any standard public details you gather in the scrape (name, current job title, company, location).

This is a QUICK project. A couple of hours. I need a Excel sheet that captures email addresses taken directly from LinkedIn profiles. Every email must be sourced only from the profile itself—no outside databases or enrichment tools—so the sheet can be traced back to verifiable LinkedIn URLs. Alongside the email, please include the profile link and any standard public details you gather in the scrape (name, current job title, company, location).

I am looking for an experienced web scraping expert to scrape approximately 40,000 records from a website. Important: This is not a simple scraping task. After approximately 5–10 attempts, Google CAPTCHA appears and blocks further access. Scraping can continue only after the CAPTCHA is resolved, allowing more data to be accessed. Requirements: Scrape approximately 40,000 records. Handle Google CAPTCHA interruptions and website anti-bot restrictions appropriately. Extract the required data accurately and completely. Deliver the scraped data in Excel or CSV format. Ensure the scraping process is reliable and avoids duplicate records. Reference Video: Fixed Budget: ₹750 INR Please review the reference video carefully before bidding. Only bid if you have the necessary experien...

I have a set of PDFs where the information I need sits neatly in two side-by-side columns. I only require the text—no images or tables—and I want every line transferred into a clean, well-structured Excel workbook. Each column from the PDF should map to its own Excel column so I can filter and sort without extra cleanup on my end. Please tell me exactly how you’ll tackle the extraction, the tools or scripts you plan to employ (Python, VBA, Adobe SDK, etc.), and how long you’ll need for a first sample. A concise, detailed project proposal that shows you understand column-based parsing will help me choose quickly. Deliverable: • An .xlsx file that mirrors the original PDF layout line-for-line, column-for-column, ready for immediate analysis. I’ll provide...

I have a personal list of several thousand archived URLs on the Wayback Machine and need a repeatable workflow that can process them in bulk. For every snapshot the workflow should: • Pull out the full text content, all embedded images, and any available metadata (titles, descriptions, dates, alt tags, etc.). Give separate selectors so I'm able to extract only the required data. • Save a clean, self-contained copy of the page so it can be opened offline as a standalone webpage. A option to go discover for subpages and extract data from them too. • Generate a parallel JSON file that structures the same information in a machine-readable way. Speed and resilience matter; the run must cope with large batches without timing out or getting blocked by the Wayback servers...

We are a recruiting and staffing firm finishing a move from Bullhorn to Crelate. We have Bullhorn's final full database backup (SQL Server 2022, encrypted, about 1.8 GB) and need an experienced SQL Server person to restore it, extract specific data, match it to our existing records, and import it into our Crelate account. WHAT YOU WILL DO 1. Restore the encrypted backup on your own SQL Server instance and confirm it opens. 2. Send us record counts for contacts, companies, jobs, and notes/activities. 3. Export contacts with their email addresses and phone numbers, and export contact notes with the original author and date. 4. Match Bullhorn contacts to our existing Crelate contacts (email first, then name plus company) and create import-ready files that fill only blank emails and phon...

I have a collection of online databases that contain both text and numerical information I need consolidated. Your task is to extract the required fields exactly as they appear—figures, descriptions, and any accompanying notes—and compile everything into a single, well-structured Word document. Accuracy and consistency are critical: the wording, number formats, and ordering must match the source. I will provide the database links, field names to capture, and a simple template so the finished file is ready for internal review and printing. Deliverables: • A complete Word document populated with every requested field, cleanly formatted and free of omissions or transcription errors. • A brief change-log noting any ambiguities or inaccessible records you encount...

I have PowerConnect installed in our SAP landscape and now need an SAP AMAP specialist to finish its configuration—specifically the data collection and reporting settings. The main objective is to automate data-gathering so we stop relying on manual extractions and the system feeds dashboards and alerts in real time. You will review the current setup, fine-tune the collection parameters, activate the right extractors, and build any necessary automation jobs so data flows on a reliable schedule without duplicate loads. While my immediate focus is automation, I’m open to your advice on optimising source definitions and integrity checks if that helps keep the pipeline healthy. Deliverables • Updated PowerConnect configuration transported through Dev → QA → Prod ...

I have a collection of customer records sitting in several PDF documents, and I need every field neatly transferred into a clean spreadsheet. The PDFs hold names, addresses, phone numbers, emails, and a few custom notes; nothing is currently in an editable format. Your task is straightforward: • Open each PDF, extract every customer detail without omission, and place it in a spreadsheet (Excel or Google Sheets—whichever you prefer). • Keep the original order of records and use clear column headings so I can filter and sort later. • Double-check spelling, numbers, and email formats as you go to ensure a 100 % accurate file. I will provide all source PDFs at the outset. Please let me know how many entries you can process per day and the tool you rely on for extraction ...

I need a one-time extraction of contact details from a UK-based website. The pages are publicly accessible, but they sit behind basic pagination and a search filter, so the process may require a crawler that can navigate multiple result pages before harvesting the data. Please capture the following items and export them to a single, tidy Excel workbook (.xlsx): • Email addresses • Phone numbers (normalised to +44 format) • Postal addresses A clean header row, one record per line, and the removal of duplicates are essential. Basic validation—such as checking email syntax and trimming whitespace—will save me time later. I’m comfortable if you choose Python with BeautifulSoup, Scrapy, or Selenium, or another language you prefer, provided the result...

Hello, I am looking for an experienced freelancer to extract publicly available business contact information for 100 business owners in Indonesia and Malaysia, including their phone numbers and email addresses. I will provide a sample list of randomly selected business accounts to help you understand the requirements (2-3 accounts). Please review the samples and send me the extracted contact details for those accounts as a demonstration of your ability to handle the project. Based on the sample results, I will evaluate the accuracy and completeness of your work before proceeding with the full project. Required information: Business name Phone number Email address Please ensure that the information is accurate, organized in an Excel or Google Sheets file, and obtained from publicly ava...

I have a collection of PDF documents that now need to be transformed into a neatly organised digital file through simple copy-paste work. Your role will be to open each PDF, capture the exact text I indicate, and paste it into a clean, consistently formatted spreadsheet or document so the information stays perfectly aligned with the source. Accuracy is the whole point of this job—every character, punctuation mark, and line break must match what appears in the PDF. Please keep an eye out for hidden spaces, encoding quirks, or layout shifts that sometimes creep in when moving content between programs; I want the final file free of those issues. Speed matters, but not at the expense of precision. I will run a quick spot-check on random entries, and anything that doesn’t mir...

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Descrizione del progetto: Cerchiamo una figura di sviluppo Python con solida esperienza nell'ecosistema OpenBIM e nell'elaborazione di file IFC per un progetto di R&D di 18 mesi nel settore AEC (Architecture, Engineering and Construction). L'obiettivo principale è la revisione, l'ottimizzazione e il perfezionamento del motore di analisi: la figura selezionata dovrà prendere le librerie aperte e gli script esistenti per snellirli, eliminare eventuali bug e garantire che l'estrazione dei dati dai modelli IFC sia fluida, performante e robusta anche con geometrie complesse. Task e responsabilità principali: 1. Refactoring e Ottimizzazione: Revisionare, rifinire e snellire il codice Python per la lettura dei file IFC, eliminando colli di bottig...

I have between six and ten PDF documents and I need every embedded image pulled out of them and saved as individual JPEG files. The work has to be finished within the next 48 hours. The job is straightforward: open each PDF, extract every image at its original resolution, and save it as a clean JPEG. A simple naming convention that links each image back to its source file and page will make review easier—something like FileName_Page#_Image#. When you are done, just zip everything and hand over the archive. Please make sure no quality is lost during the extraction, and keep the color profile intact. I will supply download links to the PDFs as soon as we start.

I have a growing stack of email-based user surveys, each one sent back to me as a PDF attachment. I need every answer inside those PDFs pulled into a machine-readable form so I can run text analysis later. Here is what I’m after: • Download or receive the PDF attachments I will share over a secure folder • Extract the full, verbatim text from each file (some are digitally generated, others may need light OCR) using any reliable toolset you prefer—Python + PyPDF2 / pdfplumber, Tesseract, or similar • Organise the extracted content into a single UTF-8 text file or a clean CSV—one row per survey, one column per question Acceptance criteria: • 100 % of the PDFs processed; no missing pages • Text must match the source wording character-for-ch...

I have a PDF made up entirely of plain-text lines and I need every line transferred accurately into an Excel workbook. No images, tables, or special formatting—just straightforward text capture. You will receive the source PDF and return a clean .xlsx file with each original line occupying its own row (one column is fine unless you spot a logical way to separate fields). Consistency and zero typos are crucial, so feel free to use reliable OCR or manual entry—whichever guarantees perfect fidelity. When you send the completed spreadsheet, I will spot-check against the PDF; acceptance is based on 100 % text match and orderly row structure. A quick turnaround is appreciated, yet quality comes first.

I need a small, reliable script that continuously pulls text data from a specific website and pushes the results straight into an Excel worksheet in real time. The flow is simple: scrape → clean (if needed) → append or overwrite the target cells so the sheet always shows the freshest information without manual copy-paste. Key points • Source: web scraping only—no API access is available. • Destination: a standard .xlsx file that I will open locally. • Data type: plain text (no images or links). Please choose whatever stack you’re most comfortable with—Python (BeautifulSoup, Selenium, Pandas), VBA with WinHTTP, or Power Query with a custom connector are all fine—as long as the final workbook updates with one click or, even better, on ...

I need all numeric fields currently stored in a series of Hindi-labelled online spreadsheets moved into a structured Excel file that I will supply. The task is strictly numbers—no text cleanup—so accuracy, correct cell placement, and preservation of any decimal formatting are paramount. You’ll access each online sheet, copy the values into the matching columns of my template, double-check totals with the built-in formulas, then return the finished .xlsx file. Deliverable • Completed Excel workbook with every number from the source sheets correctly transcribed and all formula checks passing 100 %.

I need a script that will crawl a specific website and pull every phone number it can find. I do not need emails or social media links—just the phone numbers exactly as they appear online, kept in their original local format. The script should: • Navigate through all internal pages, following pagination or category links where necessary. • Extract and store each number along with the source URL so I can trace it back if needed. • Remove duplicates automatically. • Run without triggering blocks or throttling (a short configurable delay between requests is fine). Please deliver: 1. A well-commented script (Python is ideal, but any language I can execute on Windows is acceptable). 2. A clean CSV or Excel file containing the final list of local-format nu...

I'm looking for an experienced researcher to conduct a systematic review focused on cardiovascular studies. The review should include both randomized controlled trials and observational studies, with a specific focus on mortality rates as the primary outcome measure. A meta-analysis component is also required. Key Requirements: - Comprehensive literature search and data extraction - Critical appraisal of included studies - Statistical analysis for meta-analysis - Detailed report writing Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis - Strong background in cardiovascular research - Proficiency in statistical software (e.g., RevMan, STATA) - Excellent writing skills for academic publications Please provide samples of previous work and relevant qualif...

I have a collection of PDFs from which I only need the images pulled out. Every image must be copied, saved as a separate file, and any accompanying wording—just the plain, un-styled text that appears next to or below it—typed exactly as shown. Once extracted, both the image files and their text must be entered into my database so each record pairs the graphic with its caption. You can use any reliable tools you prefer—Acrobat, Illustrator, even purpose-built extraction utilities—as long as the final outcome meets these points: • Every image from every PDF page is preserved at its original resolution. • Captions or labels are transcribed verbatim in plain text, free of extra line breaks or formatting. • A simple spreadsheet (CSV) or direct impor...

I have a small batch of Viber voice messages—fewer than ten—that I can no longer reach because Viber has cleared them to free up storage. Your job is to locate those files in the Viber backup or on-device storage, extract them without loss, and convert each one to a single, clearly audible MP3. Security is critical: I’ll provide temporary access, and I expect you to work on a local, offline environment, keep logs minimal, and delete every copy once I confirm receipt. Let me know the method you normally use (e.g., SQLite browsing, Viber desktop cache extraction, mobile root/Jailbreak with ADB/iTunes, etc.) and how you keep user data private. Deliverables • Up to 10 recovered voice messages in MP3 format • Brief note on the extraction steps you took so I c...

I’m sitting on a single ZIP archive that refuses to open. Zip file is approx 1.5GB. Looking to get it done asap.

I have a batch of digital PDF files that hold mixed information—text fields alongside numerical figures—that must be faithfully transferred into a structured spreadsheet (Excel or CSV, whichever you prefer). Accuracy is paramount: every character and number must mirror the original, with columns clearly labeled and totals untouched. You will receive the PDFs in organized folders; simply read, key in the data, and return a clean, well-formatted file ready for immediate use in our internal reporting. A quick turnaround is welcome, but not at the expense of precision. If you use tools such as Adobe Acrobat, OCR utilities, or data-capture macros, let me know; I’m open to any workflow that guarantees reliable results. Deliverable: one consolidated spreadsheet containing ...

I have a stack of handwritten customer forms that only include email addresses and phone numbers. I need every one of those details transferred into a clean Excel spreadsheet so I can import the data into our internal systems later. Accuracy is critical—no typos, no missing digits, and no duplicate rows. Please separate email addresses and phone numbers into their own clearly labeled columns and keep the workbook in .xlsx format. Deliverable • A single Excel file containing all customer emails and phone numbers, fully checked for accuracy and ready for immediate use.

Looking to Hire someone for ongoing data collection work. The software will be provided to Find and match owners, their phone numbers and email IDs. Must have your own VPN !!

I have a batch of PDF files that need their text content lifted out and saved as clean .txt files. The most important pieces for me are the headings and titles—those must be captured accurately and appear first in each output file—followed by the remaining text in the order it appears in the source. Scope • Open each supplied PDF. • Copy-paste (or use a reliable extractor) to pull every line of text. • Make sure each new PDF generates its own plain-text file with the same base filename. • Headings/titles should be clearly separated—either by an empty line or a simple label—so I can spot them instantly. • No images, tables, or formatting tags are needed; just raw, readable text. Acceptance criteria • One .txt file per PDF, ...

We are a startup seeking a practical, reliable, and low-cost cloud-based web scraping solution. ### 1. Current Situation Our previous PC-based Python system scraped 5,000 URLs with 18 XPath fields per URL in approximately four hours. It depends on local electricity, internet connectivity, and manual monitoring. Sample input/output spreadsheets and Python code are available. ### 2. Our Requirements 1. **High Performance:** Target 100,000+ URLs per run, extracting approximately 30 fields per URL in around one hour or less. Explain feasibility and realistic performance expectations. 2. **Cloud Automation:** No computer needs to remain switched on. Support scheduled runs twice daily, manual triggering, automatic retries, recovery, logs, and failure alerts. 3. **URL & XPath Management...

"I need help with a data entry project. You will need to copy contact information (Names, Emails, and Phone numbers) from 200 PDFs and paste them accurately into an Excel spreadsheet. Attention to detail is a must."

I have an old handset that I still legally own, but it no longer powers on properly and the screen is unusable. Inside it are important SMS text messages that I must retrieve for personal records. What I need from you • Diagnose the extent of the hardware damage remotely (or once you receive the device) and determine the safest extraction method—board-level work, JTAG, chip-off, or a software-based dump if the device can still boot. • Bypass any locks or encryption, if necessary, so the full SMS database can be accessed. • Deliver the recovered messages to me in a clear, searchable format such as CSV, XML, or SQLite, along with simple instructions so I can read them on my computer. Acceptance criteria 1. Complete set of SMS messages, date- and number-stam...

I need all grocery-category products on my JioMart seller panel populated with clean, accurate specifications and their corresponding images. I will give you a batch of scanned labels and shelf photos; from those you will extract every required text field (title, brand, weight, MRP, ingredients, nutritional facts, etc.) and upload the product shots where JioMart demands them. Because both text and image data entry are involved, the task is two-fold: first, transcribe the information precisely into the correct fields on the JioMart template; second, crop or lightly retouch each photo so it meets their size and clarity guidelines before attaching it to the same listing. An eye for detail is crucial—any typo or mismatched image risks listing rejection. Deliverables • Completed ...

I have a stack of printed reports filled with numerical figures that need to be converted into a clean, analysis-ready Excel workbook. Your job is straightforward but demands precision: transcribe every number exactly as it appears in the documents and apply a single, consistent layout to the entire sheet so that rows, columns, decimal places, and date or currency formats all follow the same rule set. I will scan and share the pages as high-resolution PDFs. You re-enter the data in Microsoft Excel, double-check for transcription errors, and keep the formatting uniform throughout. Quick turnaround is appreciated, but accuracy is non-negotiable. Deliverable: • An Excel file containing all figures from the provided prints, laid out in a fully standardized format ready for immediate use...

I have a batch of PDFs that contain only plain-text content. Every word from every page needs to land neatly in a single SQL table—no images, no form fields, just raw text. Here is what the finished job looks like to me: • A script (Python, Java, or similar) that reads each PDF, pulls out the complete text, and writes it into a table such as `pdf_text` with columns like `id`, `file_name`, `page_number`, and `text_block`. • A SQL file that creates this table and lets me recreate it easily on MySQL or PostgreSQL. • Clear instructions so I can rerun the process whenever new PDFs arrive. Accuracy is critical: the stored text must perfectly match the source PDF, page by page. If you prefer libraries such as PyPDF2, PDFMiner, Tika, or pdftotext, feel free—as l...

UPDATED - Build a reliable, locally runnable "Coles & Woolworths Price Data Extraction Tool" that collects weekly Coles and Woolworths product pricing data across Australia. - (UPDATED) Build a tool (Use TypeScript on Node.js) that can be executed automatically every week. - Scrape product data from Coles and Woolworths websites for all available store locations across Australia. - Extract the following fields: product name, package size/weight/volume, current price, unit price (e.g. $/kg), retailer, store location, product URL, promotional price (if applicable), and extraction date. - Capture location-specific pricing, including regional price differences and store-specific promotions, wherever available. - Collect all available products, including different sizes and vari...

I have a set of paper invoices that are already filed in chronological order. I need every invoice transcribed into a single, well-structured Excel sheet capturing only three pieces of information per document: the invoice date, the amount, and the vendor name. Because the paperwork is sorted by date, you can move through the stack from oldest to newest without hunting for related pages. Accuracy is critical; each value must match the original document exactly so the file can be imported directly into our accounting system later. A quick double-check or basic data-validation rule inside Excel is more than welcome if it helps keep typos to a minimum. Deliverable: a clean .xlsx file with clearly labeled columns for Date, Amount, and Vendor Name, ready for immediate use.

I have a set of digital-native PDF files that contain multiple tables. I need each table faithfully reproduced in an editable Word document, keeping the original row and column structure intact. Accuracy is paramount—every heading, cell value, alignment, and any bold or italic formatting must match the source PDF. The workflow is straightforward: extract each table from the digital PDFs, recreate it in Word (not Excel or a database), and double-check that totals, dates, and any special characters are identical to the original. Feel free to use any reliable PDF-to-Word tools or manual copy-paste techniques, as long as the end result opens cleanly in Microsoft Word without broken table layouts. Once a document is complete, send it back for a quick review. When everything looks correc...

I have prepared a brief demonstration that takes a table-rich PDF and rebuilds it in Excel while putting data preservation front and center. In the workbook you will see every numerical value carried over exactly as it appears in the source file—no rounding, truncation, or loss of precision. I also retain the original column headers so the sheet remains immediately readable, and I pay special attention to keeping date formats intact so they still behave correctly for filtering or further calculations. To make the conversion process transparent, I add a separate “Review Log” sheet. Any figure that looked ambiguous during extraction is flagged there alongside a short note, making later verification fast and straightforward. What you’ll get: • An .xlsx file co...