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

Copies header and balance values exactly, including the account holder block, account number, statement date, and the 114,453.65 opening / 116,149.46 closing balances.

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

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: Bank Statement PDF · pdf · group: financial-document-extraction

Input — what we sent

Input file 4 — as supplied

Bank Statement PDF.pdf

Bank Statement PDF

A 4-page bank statement PDF with 51 transactions, balances, rewards, and disclaimer text, used to test schema-driven extraction of dense financial tables and multi-page continuity.

Why this input is hard

· Table extraction across 50+ transaction rows
· Multi-page continuity with BALANCE FORWARD bridges
· Structured metadata vs. free-text transaction descriptions
· Numerical accuracy for balances, deposits, withdrawals, and summaries
· Nested schema population for account, branch, balances, rewards, and disclaimers

Output — unretouched

unstract-unstract-bank-statement-output-f0bd422ffa9e.json

Loading file...

Also checked on this input — same tool, 3 other criteria

Schema Adherence✓ WorkedPreserves the requested nested statement hierarchy instead of flattening it, with separate metadata, account_holder, account, branch, balances, transactions, summary, and other top-level sections.Semantic Field Enrichment✓ WorkedClassifies transaction_type correctly across the transaction array, using Deposit and Withdrawal labels rather than raw OCR text.Table & Record Completeness✓ WorkedKeeps the transaction table intact across all four pages, with the full 51-row record set present and no merged or dropped rows.

Provenance

Observation: fc237f3a-5e49-42f5-916c-ceda1f9fee8b
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/fc237f3a-5e49-42f5-916c-ceda1f9fee8b

Free with attribution.

Same input, same check — 7 other tools

measured on Extraction Accuracy

Datalab✓ WorkedExtracts the visible document-level values correctly, including State Bank of India, 16 Jul 2019, INR, account number 42710540422, account type SMART BANKING SAVINGS ACCOUNT, branch Rajaji Salai, MICR 600036005, IFSC SCBL0036078, and phone 25349005.Extend AI⚠ StruggledIts bank summary aggregation is off: the report says `summary.total_transactions` is 49, while the expected count is 40 after excluding Balance Forward, tax, and charge entries.Landing AI✓ WorkedExtracts the statement’s top-level values with the correct content and precision, including bank_name "Standard Chartered", statement_date "16 Jul 2019", currency "INR", account number "42710540422", opening balance 114453.65, and closing balance 116149.46.LlamaParse⚠ StruggledLeaves some transaction value_date fields blank even where the statement shows dates in that column, so transaction metadata is incomplete.Nanonets✓ WorkedIt accurately fills core statement metadata and balances, including account number 42710540422, opening balance 114453.65, and closing balance 116149.46.Reducto◐ MixedGets some bank values right but misstates a core aggregate: summary.total_transactions is reported as 70 even though the report says the correct count is 40.Retab✓ WorkedExtracts key statement values as typed fields, including account holder MR SEENIVASAN, account number 42710540422, and opening and closing balances 114453.65 and 116149.46.

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