Preserves the requested invoice hierarchy, populating invoice_metadata, advertiser, station, account_details, billing_address, remit_address, flight_dates, line_items, and summary as separate JSON objects rather than flattening the page.
What was measured
Schema Adherence
Does the output follow the supplied JSON schema hierarchy exactly, with correct nesting, field names, and data types?
decisive for this rankingtransformation
If the tool does not follow the supplied JSON schema exactly, the extracted data cannot be reliably used for structured querying or downstream automation. (3 of 3 judges)
What was given, what came back
Test input: Invoice PDF · pdf · group: business-document-extraction
Input — what we sent
A two-page broadcast advertising invoice PDF with nested header metadata, billing and remit addresses, and eight line items spanning a page break. It was used to stress hierarchical line-item extraction, amount precision, time/day parsing, code extraction, and summary validation.
Why this input is hard
- · Nested line-item hierarchy extraction
- · Multi-page continuity across a page break
- · Precision on large dollar amounts and totals
- · Parsing complex time slots and day patterns
- · Extraction of Ad IDs and reconciliation codes
- · Mapping structured metadata sections correctly
- · Financial summary validation
- · Handling political advertising compliance text
Output — unretouched
Loading file...
Also checked on this input — same tool, 4 other criteria
Extraction Accuracy✓ WorkedExtracts invoice and finance values accurately, including invoice number 4064621-1 and summary totals of 8 aired spots, 29750 gross, 4462.5 commission, and 25287.5 net amount due.Semantic Field Enrichment✗ FailedPartially extracts line 8's schedule metadata: flight_period_start, flight_period_end, frequency, and days_pattern are null even though the source row and other records contain scheduling information.Semantic Field Enrichment⚠ StruggledConcatenates the program-description field with the rate-category label on at least one row, producing strings like "Fox 9 AM News at 4:30amPolitical Issue Rates" instead of a cleanly separated description.Table & Record Completeness✓ WorkedKeeps all 8 advertising line items as separate records with no row merging or duplication.
Provenance
- Observation
- 4a0ab0b3-2f6a-4dc0-8387-09bc3462ac42
- Evidence run
- a061b9e7-a9c5-443d-a171-b296aaf51b8c
- 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: "business-document-extraction"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 7 other tools
measured on Schema Adherence
Datalab✓ WorkedThe invoice workflow can emit nested schema-shaped JSON with separate invoice_metadata, advertiser, station, account_details, billing_address, remit_address, flight_dates, line_items, and summary objects rather than flat OCR text.Extend AI✓ WorkedThe tool reconstructs the invoice hierarchy into nested JSON with invoice_metadata, advertiser, station, summary, and line_items objects rather than returning raw OCR.Landing AI✓ WorkedReconstructs the invoice hierarchy into invoice_metadata, advertiser, station, billing_address, remit_address, flight_dates, line_items, and summary objects rather than returning flat OCR text.LlamaParse✓ WorkedThe invoice output follows the supplied hierarchy closely, returning nested invoice_metadata, advertiser, station, line_items, and summary objects instead of a flat text dump.Reducto✓ WorkedReconstructs the requested nested invoice JSON rather than flattening the document, populating invoice_metadata, advertiser, station, account_details, billing_address, remit_address, flight_dates, line_items, and summary sections.Retab✓ WorkedReconstructs the invoice schema into nested invoice_metadata, advertiser, station, account_details, billing_address, remit_address, flight_dates, line_items, and summary sections rather than returning a flat document dump.Unstract✓ WorkedPopulates the invoice extraction into the requested hierarchy, separating invoice_metadata, advertiser, station, account_details, billing_address, remit_address, flight_dates, line_items, and summary fields.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com