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

It extracts all eight invoice line items as separate rows, preserving description, airtime, rate, flight period, reference number, and campaign IDs without merging records.

✓ Worked🧾 artifact-verifiedoutput onlyTest date not recordedExtend AI →
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 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
Output 1
Output 1
Output 2
Output 2
Also checked on this input — same tool, 5 other criteria
Extraction Accuracy✓ WorkedIts invoice totals match the source document, including 8 aired spots, gross_total 29750, agency_commission 4462.5, and net_amount_due 25287.5.Extraction Accuracy⚠ StruggledIt sometimes carries source labels into values: `payment_terms` is returned as `Payment Terms 30 Days` rather than the bare value `30 Days`.Schema Adherence✓ WorkedThe invoice output is reconstructed as nested JSON sections — invoice_metadata, advertiser, station, addresses, flight_dates, line_items, and summary — instead of raw OCR.Semantic Field Enrichment✓ WorkedIt derives non-OCR line-item fields such as `day_of_week`, `days_pattern`, `time_slot`, and `air_time`.Structural Clean Output✗ FailedIt reorders several schema sections relative to the supplied schema, so the output is not consistently in the authored field order.
Provenance
Observation
6af0c5f8-49f9-4f6a-abc9-05b7feff51df
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
output only
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: "extend-ai",
  scenario: "financial-document-extraction"
})
MCP · mcp.aidemos.com/api/mcp
JSON · ai.aidemos.com/v1/observations/6af0c5f8-49f9-4f6a-abc9-05b7feff51df
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.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.Unstract✓ WorkedCarries a line item cleanly across the page break without duplicating or losing the row, showing page-break continuity in the line_items array.
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