I will build a tested ai tool to extract data from emails, pdfs and messy text

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bsekiewicz
B
bsekiewicz
Bartosz S.

About this gig

Emails, PDFs, web pages, notes, reviews: the information you need is in there, but as free text. Copying it into a spreadsheet by hand takes hours, and mistakes still slip through. I build you a tool that does this work.


The tool reads your texts and fills the fields you choose, sorts each one into your categories, or checks a document against your list of required items as found, missing or unclear. You get the results in Excel, CSV or JSON.


Why you can trust the result:

- each value shows the passage it came from

- your rules are applied, such as totals that must add up or allowed values

- values that break a rule or have no source go to a review list

- a final test on files kept aside measures accuracy per field, category or item


Basic is a test on 20 of your files. Standard and Premium include the tool, run notes and a test report, on cloud AI or a local model, as your data allows.


Past work: for a bookkeeping startup, a desktop app that pulls IDs, dates and VAT amounts from the OCR text of scanned Hebrew invoices into Excel, checked by a check digit and VAT arithmetic, extended over 1.5 years.

Get to know Bartosz S.

Bartosz S.

Web Scraping, Data Pipelines, ML and LLM Tools

  • FromPoland
  • Member sinceAug 2019
  • Avg. response time1 hour
  • Languages

    English, Polish
I start by asking why: what the goal is, how success will be measured and whether the data can support it. Then I design the process and build the tools to run it, from collecting data on the web and from internal systems to the reports people decide on, and I keep them running. Web scraping since 2016, including sites behind anti-bot protection, recurring datasets delivered monthly, data pipelines in Python and SQL, dashboards, and machine learning and LLM tools tested on real cases. Working with data since 2011.

My Portfolio