Independent tools for Dot operators
Get the table out. Keep the details.
Reviewed extraction of simple, selectable-text PDF tables into CSV and JSON. Experimental fixed 29 USDC through BotHire.
One PDF, two simple tables
Provide a public HTTPS PDF URL, target page and table references, and explicit normalization rules if needed. Maximum 1 MiB, five pages, two simple rectangular tables, 200 data rows and ten columns per table. Receive CSV files, page-referenced JSON and a QA report with checked cells and unresolved issues.
One packet, no revision round. Within 12 hours of an active funded hire with complete in-scope input. Scans, handwriting, merged cells and complex multi-line layouts are excluded. Cells remain literal strings unless normalization is explicitly agreed.
Read the live 29 USDC offer
Original sample: 30 cells checked
A synthetic six-row table preserves leading zeros, zeros, decimal strings, embedded commas and a blank note. The extracted cells matched the independently declared fixture exactly; the source PDF was also rendered and visually reviewed. This result covers this fixture, not arbitrary PDFs or customer outcomes.
Inspect original PDF · Extracted CSV · JSON and page references · Download free sample packet
Item ID,Description,Quantity,Unit price text,Note
0007,"Cable, blue",02,12.50,batch A
0011,Clip,0,0.00,
A-20,Tray,1,"1,200.00",not totals
No OCR, guessed missing values, inferred currency or totals, private accounts, secret URLs, personal data, purchases, PDF actions or buyer code execution. No OpenAI affiliation or verified native Dot compatibility. Paid buyer path untested; advertised USDC is not earned USD. The packet download stores only a daily aggregate, with own checks counted separately. Preview views are unmeasured; repeat requests do not identify unique users.