Evidence · first-party tested/Best AI Tools for Extracting Structured Data from PDFs and Business Documents

Carries a line item cleanly across the page break without duplicating or losing the row, showing page-break continuity in the line_items array.

✓ Worked🧾 artifact-verifiedinput + output shownTest date not recordedUnstract →

What was measured

Table & Record Completeness

Are all tabular rows (transactions, line items) extracted without merging, duplication, omission, or phantom records?

decisive for this rankingtransformation

For document data extraction, missing, merged, duplicated, or phantom rows directly corrupt the structured dataset and break downstream querying. (3 of 3 judges)

What was given, what came back

Test input: Invoice PDF · pdf · group: financial-document-extraction

Input — what we sent

Input file 2 — as supplied

f76d402f677748dfa30611569dbbc5f2.pdf?v=1

Input not captured

This run recorded no prompt or input file for the test, so we cannot show you what produced the result below. Capture gaps are tracked, not hidden.

A 2-page broadcast advertising invoice PDF with 8 line items, complex time/day fields, large dollar amounts, and compliance text, used to test hierarchical line-item extraction and financial validation.

Why this input is hard

· Nested line-item hierarchy extraction
· Multi-page line-item continuity across a page break
· Large dollar amount precision and total validation
· Parsing time slots, day patterns, and air dates
· Extraction of alphanumeric ad IDs and reference codes
· Structured metadata mapping for advertiser, station, billing, and remit sections
· Political advertising and FCC compliance text recognition

Output — unretouched

unstract-unstract-invoice-output-e53f3477db06.json

Loading file...

Also checked on this input — same tool, 5 other criteria

Extraction Accuracy✓ WorkedMatches the printed financial summary exactly, including 8 aired spots, $29,750.00 gross, $4,462.50 agency commission, $25,287.50 net due, and 30-day payment terms.Extraction Accuracy⚠ StruggledIntroduces a stray OCR-style space into every Ad-ID, so the identifier text is not preserved exactly as printed.Schema Adherence✓ WorkedPopulates the requested invoice hierarchy into dedicated sections for invoice_metadata, advertiser, station, account_details, billing_address, remit_address, flight_dates, line_items, and summary.Semantic Field Enrichment⚠ StruggledMisreads fixed-width schedule masks in day_of_week, truncating or garbling the broadcast-day pattern instead of reproducing the full source mask.Semantic Field Enrichment✓ WorkedExtracts the compact days_pattern field correctly as the actual single broadcast-day letter.

Provenance

Observation: 8046a259-1d96-4eda-b1e1-538b98bba040
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: first-party
Evidence state: verified
Proof shown: input + output shown
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",
  scenario: "financial-document-extraction"
})

MCP · mcp.aidemos.com/api/mcp

JSON · ai.aidemos.com/v1/observations/8046a259-1d96-4eda-b1e1-538b98bba040

Free with attribution.

Same input, same check — 7 other tools

measured on Table & Record Completeness

Datalab✓ WorkedKeeps all 8 advertising spots as separate line-item records, with the JSON tree showing indices 0 through 7 and no adjacent-row merging.Extend AI✓ WorkedIt extracts all eight invoice line items as separate rows, preserving description, airtime, rate, flight period, reference number, and campaign IDs without merging records.Landing AI✓ WorkedExtracts all 8 advertising line items as separate records, preserving the row count and scheduling structure instead of collapsing the table.LlamaParse✓ WorkedExtracts the invoice line_items table as 8 separate records (indices 0 through 7) without merging adjacent rows.Nanonets✓ WorkedIt extracts all 8 advertising line items as separate records without row merging or duplication.Reducto✓ WorkedKeeps all 8 invoice line items as separate structured rows without merging adjacent entries.Retab✓ WorkedReconstructs all 8 advertising line items as separate records without duplication or omission.

This evidence is published in

Best AI Tools for Extracting Structured Data from PDFs and Business Documents →unstract →

Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com