{"slug": "what-1000-invoices-a-month-actually-costs-across-five-document-ai-apis", "title": "What 1,000 invoices a month actually costs across five document-AI APIs", "summary": "A developer benchmarked the real cost of processing 1,000 invoices per month across five document-AI APIs, revealing hidden minimums and per-attempt billing that inflate effective rates. AWS Textract, Google Document AI, and Azure Document Intelligence all charge $10/month at $0.01/page but bill for failed attempts, while Veryfi's $0.16/invoice rate requires a $500/month minimum. The developer's own product, Kynth Core, charges $80/month with no minimum and only on successful extractions.", "body_md": "Pricing pages for document-extraction APIs are written to win a different comparison than the\n\none you actually need. Per-page rates hide minimums. Credit systems hide per-document math.\n\nSo here's the arithmetic for one concrete, boring workload: **1,000 single-page invoices a\nmonth**, at each vendor's published July-2026 pricing. (I sell one of these APIs — disclosure\n\n| API | Published rate | 1,000 invoices/mo | The catch |\n|---|---|---|---|\n| AWS Textract (AnalyzeExpense) | $0.01/page | $10 |\nYou build the pipeline: retries, failures, schema mapping. Every attempt bills, including failed ones. |\n| Google Document AI (Invoice parser) | $0.01/page | $10 |\nSame deal. (Their Bank Statement parser is $0.75/classified doc.) |\n| Azure Document Intelligence (prebuilt) | $0.01/page | $10 |\nSame again — the hyperscalers are interchangeable here. |\n| LlamaParse | $1.25/1k pages | ~$1.25 |\nIt's a parser, not an extractor: structure back, not validated invoice fields. Budget your own extraction layer (and its LLM bill) on top. |\n| Veryfi | $0.16/invoice |\n$160 — except no. Production starts at a $500/mo minimum buying <5k docs |\nAt 1,000 invoices your effective rate is $0.50/doc, not $0.16. |\n| Kynth Core (mine) | $0.08/invoice | $80 |\nCharged only when extraction succeeds; no minimum, no commitment. |\n\n**1. What does a failure cost?** The per-page APIs bill per attempt. If your docs are ugly —\n\nphotographed receipts, scanned faxes, tables that explode — your effective\n\nper-*successful*-document rate is higher than the sticker. That's why \"cost per correctly\n\nextracted document\" (price ÷ accuracy) is the only number worth comparing, and why I publish\n\na reproducible accuracy benchmark alongside this post — including the suites where the\n\nhyperscalers beat me.\n\n**2. What does the minimum cost?** Veryfi's per-doc rates look adjacent to mine until the\n\ncommitment line. Minimums are a bet the vendor makes you place on your own volume. Process\n\n800 invoices a month and you're paying for 5,000.\n\n**3. Who owns the pipeline?** $10/month at Textract is real if your engineering time is free.\n\nThe hyperscaler APIs hand you fields; everything around them — schema validation, retries,\n\nnormalization, the 3am alert when a new invoice layout breaks parsing — is yours.\n\nKynth Core is my product, so weight my row accordingly. What I can offer instead of\n\nneutrality is reproducibility: the accuracy benchmark behind these claims is an MIT-licensed\n\nharness (public datasets, pinned revisions, raw responses committed, fork-safe CI) — re-run\n\nevery number with your own keys, or re-score my committed responses with no keys at all.\n\nLinks: [benchmark repo](https://github.com/kyisaiah47/doc-extract-bench) ·\n\n[live scores](https://api.kynth.studio/benchmarks) ·\n\n[pricing sources](https://api.kynth.studio/guides/invoice-ocr-api-pricing).", "url": "https://wpnews.pro/news/what-1000-invoices-a-month-actually-costs-across-five-document-ai-apis", "canonical_source": "https://dev.to/kyisaiah47/what-1000-invoices-a-month-actually-costs-across-five-document-ai-apis-2613", "published_at": "2026-07-10 18:34:06+00:00", "updated_at": "2026-07-10 19:17:41.726278+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-products", "ai-tools", "developer-tools", "natural-language-processing"], "entities": ["AWS Textract", "Google Document AI", "Azure Document Intelligence", "LlamaParse", "Veryfi", "Kynth Core"], "alternates": {"html": "https://wpnews.pro/news/what-1000-invoices-a-month-actually-costs-across-five-document-ai-apis", "markdown": "https://wpnews.pro/news/what-1000-invoices-a-month-actually-costs-across-five-document-ai-apis.md", "text": "https://wpnews.pro/news/what-1000-invoices-a-month-actually-costs-across-five-document-ai-apis.txt", "jsonld": "https://wpnews.pro/news/what-1000-invoices-a-month-actually-costs-across-five-document-ai-apis.jsonld"}}