Evidence · first-party tested/Best AI Tools for Extracting Structured Data from PDFs and Business Documents
It mostly preserved the printed financial and header values exactly, but it miscounted rows in one bank statement and introduced stray OCR-style spaces into every Ad-ID.
What was measured
Extraction Accuracy
Are field values correct, complete, and free of OCR or parsing errors? Includes numerical precision on financial fields.
decisive for this rankingtransformation
The whole point is to pull the right values from documents; wrong or incomplete field values mean the tool failed at the job. (3 of 3 judges)
What was given, what came back
Input — what we sent
No input — this is a capability finding
The observation is about the tool itself rather than one test input, so there is nothing to show on this side by design.
Output — unretouched
No output artifact
The verdict rests on the tester's written observation alone — no file was captured for this cell.
Provenance
- Observation
- 18bdfefc-3275-4a59-9d80-94b77c243135
- Evidence run
- ec4d736d-95f9-4c88-884c-e280435f7b7b
- Study
- Extract and query structured data from documents using natural language
- Research task
- 86b9y25e5
- Tested at
- not recorded
- Source
- aggregate-synthesis
- Evidence state
- observed
- Proof shown
- no artifact
- Cost / latency
- not captured
- Repeat run
- not captured
- Tester
- not captured
The last three rows are honest blanks, not placeholders — our capture has no field for them yet.
Query this
get_evidence({
tool: "unstract"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 0 other tools
measured on Extraction Accuracy
No other tool was measured on this criterion for this input.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com