https://txtfetch.com/compare/mindee/
txtfetch vs Mindee
Mindee is subscription + credits for structured field extraction. Here's an honest comparison: pricing math, capabilities, and where each tool wins.
at a glance
Mindee
- Billing
- subscription + credits (1 credit = 1 page)
- Rate used below
- $0.05/pagedirectional
- Free tier
- Removed September 15, 2025. 14-day trial only, no ongoing free tier.
txtfetch
- Billing
- per document, regardless of page count
- Rate used below
- flat monthly quota (see plans)
- Free tier
- 500 documents/month, free, ongoing (Hobby plan)
capability table
| Capability | Mindee | txtfetch |
|---|---|---|
| Billing unit | subscription + credits | per document |
| Format coverage | PDF, images (narrow, doc-type-specific models) | 615 formats (Apache Tika, checked) |
| OCR for scans / images | + | + |
| Table extraction | ~ | +* |
| Complex layout fidelity | ~ | ~* |
| Structured field extraction | + | not yet* |
| Self-hosted option | – | –* |
| Single HTTP endpoint | + | + |
Vendor-published benchmarks are marked directional throughout. See sources below. * txtfetch notes: Tables come back as structured rows and cells, not flattened text. Use ?format=markdown for GFM pipe tables, or ?format=json for table elements with a cells array. Output is clean linear or structured text, not a visual layout reconstruction. That's by design, but worth knowing. Structured markdown and element-JSON document output ship today (?format=markdown / ?format=json). Schema-defined field extraction means pulling typed fields per your own schema. That feature is on the roadmap, not shipped yet. We won't claim it early. No shipped self-host or VPC artifact today. It is on the roadmap. Apache Tika itself is free to run yourself. See the page below for what that takes.
Weighing self-hosting against either API? See what running Apache Tika yourself actually takes.
the cost calculator
Per page vs per document, worked out.
A 300-page PDF is 300 units of billing to Mindee. It's one document to txtfetch. Adjust the numbers to your own workload.
Mindeedirectional
—
Derived effective rate, not a published per-page price (see note) · $0.05/page
txtfetch
—
Mindee's figure is their cheapest OCR/base tier — forms, tables, and higher-fidelity models cost more on top. txtfetch bills a flat monthly document quota: the page count inside a document doesn't change your bill.
where mindee wins
- Turnkey field extraction for common document types (invoices, receipts, passports, IDs) needs minimal setup.
- You get named fields, not raw text.
- Custom document APIs let non-ML teams train a field-extraction model on their own document types without building an ML pipeline.
- Confidence scores per extracted field, useful for automating approval thresholds.
where txtfetch wins
- Breadth: 615 formats, each with a real Apache Tika parser behind it. That's checked against the exact build we run, not a curated list of a dozen file types.
- One HTTP endpoint. Pass a URL or upload a file, and get text back. No SDK and no async job polling required.
- Priced per document, so a 300-page report doesn't cost 300x a one-pager.
- A durable free tier (500 documents/month, ongoing) rather than a time-boxed trial.
What we don't claim yet: schema-defined structured field extraction, or an uptime SLA. Those ship later. See the capability table above.
next step
Ready to switch? See what your code looks like after migrating from Mindee: the call you run today, the call that replaces it, and a drop-in adapter.
Check the numbers yourself.
The benchmark runs against a committed corpus. You can re-run it.
See the benchmarks →