{"observation":{"id":"e10bbd24-0b50-44a1-8902-eb59e2fbaf4f","tool":"llamaparse","tool_name":"LlamaParse","criterion":"semantic-field-enrichment","criterion_name":"Semantic Field Enrichment","criterion_definition":"Are derived fields — transaction_type, transaction_id, cheque_number, day patterns, ad codes — correctly classified or extracted beyond raw OCR?","criterion_evidence_type":"transformation","criterion_rank_role":"decisive","criterion_rank_role_reason":"This ranking is not just about copying OCR text; it also depends on whether the tool can correctly infer or classify document-specific fields needed for useful structured output. (3 of 3 judges)","scenario":"bank-statement-pdf","scenario_name":"Bank Statement PDF","group_tag":"financial-document-extraction","scenario_description":"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.","modality":"pdf","input_text":null,"input_artifact_refs":[{"alt":null,"url":"https://d3epheqghktydj.cloudfront.net/extract-and-query-structured-data-from-d-bank-statement-pdf-25ec532be6e1.pdf","role":"input","filename":"Bank Statement PDF.pdf"}],"stresses":["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"],"verdict":"failed","score":null,"score_total":null,"note":"Fails to derive transaction-level fields, leaving transaction_id and transaction_type empty even for descriptions that encode ATM, UPI, and CRADJ cues.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://d3epheqghktydj.cloudfront.net/research-media-llamaparse-bank-statement-transaction-id-c01a0d30b3be.png","role":"output","alt":null},{"url":"https://d3epheqghktydj.cloudfront.net/research-media-llamaparse-bank-statement-transaction-it-e75317057cb2.png","role":"output","alt":null}],"run_id":"ec4d736d-95f9-4c88-884c-e280435f7b7b","study_title":"Extract and query structured data from documents using natural language","study_kind":"generation","research_task":"86b9y25e5","tested_at":null,"completeness":"input-and-output","input":{"state":"files","text":null,"files":[{"url":"https://d3epheqghktydj.cloudfront.net/extract-and-query-structured-data-from-d-bank-statement-pdf-25ec532be6e1.pdf","filename":"Bank Statement PDF.pdf","alt":"Bank Statement PDF","role":"input"}],"modality":"pdf","stresses":["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"]},"tool_page_slug":"llamaparse","tool_url":"https://aidemos.com/tools/llamaparse","permalink":"https://aidemos.com/evidence/e10bbd24-0b50-44a1-8902-eb59e2fbaf4f","api_url":"https://ai.aidemos.com/v1/observations/e10bbd24-0b50-44a1-8902-eb59e2fbaf4f"},"peers":[{"id":"263dafe2-bc8e-4694-addc-8205206940ba","tool":"datalab","tool_name":"Datalab","verdict":"mixed","score":null,"score_total":null,"note":"Transaction typing is inconsistent on merged rows, with one 28 Jun entry labeled Deposit despite showing a 399 withdrawal amount and another 19 Jun merged row labeled Deposit/Withdrawal.","artifact_count":3,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-datalab-bank-statement-extracted-28-jun--04644cff3353.png","evidence_url":"https://aidemos.com/evidence/263dafe2-bc8e-4694-addc-8205206940ba"},{"id":"414af8f0-b7ac-40ed-914e-051d339dfa2b","tool":"extend-ai","tool_name":"Extend AI","verdict":"failed","score":null,"score_total":null,"note":"It leaves derived `transaction_id` values as `null` even when reference identifiers are present in the description, so identifier extraction does not generalize.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-extend-ai-extracted-transaction-id-fc2e1cc3385b.png","evidence_url":"https://aidemos.com/evidence/414af8f0-b7ac-40ed-914e-051d339dfa2b"},{"id":"9f99b1ec-e13d-49eb-a3c3-0eb907f19ffb","tool":"landing-ai","tool_name":"Landing AI","verdict":"failed","score":null,"score_total":null,"note":"Does not preserve source-derived transaction identifiers; it normalizes them into sequential transaction_id values such as \"2\", \"3\", and \"4\", so the embedded IDs in the descriptions cannot be traced back directly.","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-bank-statement-18-jun-transaction-id-333e963bd05b.png","evidence_url":"https://aidemos.com/evidence/9f99b1ec-e13d-49eb-a3c3-0eb907f19ffb"},{"id":"db96ee62-b038-4189-9112-9ff53de816f8","tool":"nanonets","tool_name":"Nanonets","verdict":"failed","score":null,"score_total":null,"note":"It does not populate the derived transaction_type field, leaving it null across the statement instead of classifying deposits and withdrawals.","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-bank-statement-2-jul-a511cf7bd0d6.png","evidence_url":"https://aidemos.com/evidence/db96ee62-b038-4189-9112-9ff53de816f8"},{"id":"e2f47c60-3f78-4b14-aa96-2e76d8e2483a","tool":"reducto","tool_name":"Reducto","verdict":"failed","score":null,"score_total":null,"note":"Leaves derived transaction metadata incomplete, with transaction_type and transaction_id missing across transaction rows.","artifact_count":3,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-bank-statement-schema-transactions-00d0c871c403.png","evidence_url":"https://aidemos.com/evidence/e2f47c60-3f78-4b14-aa96-2e76d8e2483a"},{"id":"0067b41d-0138-4fc0-80b1-151bb93e2539","tool":"retab","tool_name":"Retab","verdict":"worked","score":null,"score_total":null,"note":"Derives transaction_type and transaction_id on transaction rows, classifying one record as UPI with transaction_id 917615251879 and cheque_number left empty.","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-bank-statement-2-jul-a511cf7bd0d6.png","evidence_url":"https://aidemos.com/evidence/0067b41d-0138-4fc0-80b1-151bb93e2539"},{"id":"9c65076c-303b-4d4c-a3f7-619f2667c82e","tool":"unstract","tool_name":"Unstract","verdict":"worked","score":null,"score_total":null,"note":"Classifies transaction_type correctly across the transaction array, using Deposit and Withdrawal labels rather than raw OCR text.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/6d9450b3c58b477ea0066e52ceb2f6ca.png?v=1","evidence_url":"https://aidemos.com/evidence/9c65076c-303b-4d4c-a3f7-619f2667c82e"}],"other_criteria":[{"id":"81a8a18e-5656-4db6-8d73-4dd8203a9209","criterion":"extraction-accuracy","criterion_name":"Extraction Accuracy","rank_role":"decisive","verdict":"struggled","score":null,"score_total":null,"note":"Leaves some transaction value_date fields blank even where the statement shows dates in that column, so transaction metadata is incomplete.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/81a8a18e-5656-4db6-8d73-4dd8203a9209"},{"id":"c7ef413a-1654-4252-a5fe-451fa0f92388","criterion":"schema-adherence","criterion_name":"Schema Adherence","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Keeps a nested statement schema intact, emitting separate metadata, account_holder, account, branch, statement_period, balances, transactions, summary, rewards, and disclaimers objects instead of flattening the document.","artifact_count":3,"evidence_url":"https://aidemos.com/evidence/c7ef413a-1654-4252-a5fe-451fa0f92388"},{"id":"c329f9a0-4d9f-4f20-8307-5ac615a12391","criterion":"table-and-record-completeness","criterion_name":"Table & Record Completeness","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Extracts the bank statement's rewards section as structured repeated records, including accountNumber, titleDate, scheme, openingBalance, pointsAccrued, pointsRedeemed, adjustments, and closingBalance.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/c329f9a0-4d9f-4f20-8307-5ac615a12391"},{"id":"b9bfb6b9-ede4-4ea0-ab6e-68c2c5b3895b","criterion":"table-and-record-completeness","criterion_name":"Table & Record Completeness","rank_role":"decisive","verdict":"failed","score":null,"score_total":null,"note":"Over-segments the bank-statement transaction table, outputting 54 transaction rows for a statement the report says contains 51 transactions and leaving the summary at 44 total_transactions, so row counts are not self-consistent.","artifact_count":3,"evidence_url":"https://aidemos.com/evidence/b9bfb6b9-ede4-4ea0-ab6e-68c2c5b3895b"}],"appears_in":[{"page_type":"ranking","slug":"document-extraction","title":"Best AI Tools for Extracting Structured Data from PDFs and Business Documents","url":"https://aidemos.com/best/document-extraction","binding":"run"},{"page_type":"tool","slug":"unstract","title":null,"url":"https://aidemos.com/tools/unstract","binding":"run"}],"same_scenario":[{"id":"263dafe2-bc8e-4694-addc-8205206940ba","tool":"datalab","tool_name":"Datalab","verdict":"mixed","score":null,"score_total":null,"note":"Transaction typing is inconsistent on merged rows, with one 28 Jun entry labeled Deposit despite showing a 399 withdrawal amount and another 19 Jun merged row labeled Deposit/Withdrawal."},{"id":"414af8f0-b7ac-40ed-914e-051d339dfa2b","tool":"extend-ai","tool_name":"Extend AI","verdict":"failed","score":null,"score_total":null,"note":"It leaves derived `transaction_id` values as `null` even when reference identifiers are present in the description, so identifier extraction does not generalize."},{"id":"9f99b1ec-e13d-49eb-a3c3-0eb907f19ffb","tool":"landing-ai","tool_name":"Landing AI","verdict":"failed","score":null,"score_total":null,"note":"Does not preserve source-derived transaction identifiers; it normalizes them into sequential transaction_id values such as \"2\", \"3\", and \"4\", so the embedded IDs in the descriptions cannot be traced back directly."},{"id":"db96ee62-b038-4189-9112-9ff53de816f8","tool":"nanonets","tool_name":"Nanonets","verdict":"failed","score":null,"score_total":null,"note":"It does not populate the derived transaction_type field, leaving it null across the statement instead of classifying deposits and withdrawals."},{"id":"e2f47c60-3f78-4b14-aa96-2e76d8e2483a","tool":"reducto","tool_name":"Reducto","verdict":"failed","score":null,"score_total":null,"note":"Leaves derived transaction metadata incomplete, with transaction_type and transaction_id missing across transaction rows."},{"id":"0067b41d-0138-4fc0-80b1-151bb93e2539","tool":"retab","tool_name":"Retab","verdict":"worked","score":null,"score_total":null,"note":"Derives transaction_type and transaction_id on transaction rows, classifying one record as UPI with transaction_id 917615251879 and cheque_number left empty."},{"id":"9c65076c-303b-4d4c-a3f7-619f2667c82e","tool":"unstract","tool_name":"Unstract","verdict":"worked","score":null,"score_total":null,"note":"Classifies transaction_type correctly across the transaction array, using Deposit and Withdrawal labels rather than raw OCR text."}]}