Extract invoice data from PDFs
“Extract names, invoice numbers, dates, and totals from these PDFs.”
A new era of AI Data Extraction
Preview release: PDF input → Excel output. More formats coming soon.
Drop PDF, DOCX or TXT files here
Up to 50 files · 1 MB each · PDF, DOCX & TXT → Excel
Write naturally. Early beta supports PDF, DOCX and TXT input with an Excel output.
Output will appear here
Add files and an instruction, then start a job to generate your processed output.
Real tasks people throw at FileChomp every day.
“Extract names, invoice numbers, dates, and totals from these PDFs.”
“Extract every table from these PDFs into one clean Excel workbook.”
“Turn these receipt PDFs into rows of date, vendor, category, and amount.”
“Extract party names, effective dates, term length, and renewal clauses from these contract PDFs.”
“One row per PDF with a short summary, key findings, and recommended action.”
“List every PDF with detected type, client, and date.”
Most file work is repetitive but still too specific for normal tools. FileChomp gives you a simple way to automate one-off workflows without opening Excel formulas, writing Python scripts, or manually copying data for hours.
Describe the task in normal language.
Built for dozens, hundreds, or thousands of files.
Clean spreadsheets, renamed folders, converted files, or structured data.
Some workflows are processed manually or semi-automatically while we build the instant engine. Either way, you get the finished files back.