Evidence · first-party tested/Best AI Tools for Extracting Structured Data from PDFs and Business Documents
It concatenates program-description text without a separator, so labels such as "Political Issue Rates" are appended directly onto the show title in fields like "Fox 9 AM News at 4:30amPolitical Issue Rates".
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
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
Also checked on this input — same tool, 4 other criteria
Schema Adherence✓ WorkedIt preserves the invoice hierarchy exactly as requested, filling dedicated objects for invoice_metadata, advertiser, station, account_details, billing_address, remit_address, flight_dates, line_items, and summary.Semantic Field Enrichment◐ MixedIt leaves line 8 without derived scheduling fields such as flight_period_start, flight_period_end, frequency, and days_pattern, even though comparable rows populate them.Semantic Field Enrichment✓ WorkedThe tool correctly enriches ordinary invoice rows with derived scheduling fields such as time_slot, day_of_week, flight_period_start/end, frequency, and days_pattern on line items like line 4.Table & Record Completeness✓ WorkedIt extracts all 8 advertising line items as separate records without row merging or duplication.
Provenance
- Observation
- 47a6fef2-07cd-4dea-97ff-47ef7be54f95
- 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: "nanonets",
scenario: "financial-document-extraction"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 7 other tools
measured on Extraction Accuracy
Datalab✓ WorkedExtracts the invoice metadata and monetary values accurately, including invoice 4064621-1, invoice date 10/28/12, gross_total 29750, agency_commission 4462.5, net_amount_due 25287.5, and payment_terms 30 Days.Extend AI⚠ StruggledIt sometimes carries source labels into values: `payment_terms` is returned as `Payment Terms 30 Days` rather than the bare value `30 Days`.Landing AI◐ MixedLeaves several station-level fields null even though the station is identified, with call_letters "KMSP" populated but address, city, state, postal_code, main_phone, and billing_phone all null.LlamaParse✓ WorkedMatches the source invoice totals and payment terms: aired_spots 8, gross_total 29750, agency_commission 4462.5, net_amount_due 25287.5, and payment_terms "30 Days".Reducto✓ WorkedExtracts the invoice summary amounts accurately; the report says the financial totals and aired_spots match the source document.Retab✓ WorkedCarries the financial summary through consistently, including agency_commission 4462.5, aired_spots 8, gross_total 29750, and net_amount_due 25287.5.Unstract⚠ StruggledIntroduces a stray OCR-style space into every Ad-ID, so the identifier text is not preserved exactly as printed.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com