Mindee
Mindee's OCR and document processing API returns typed, scored JSON from invoices, receipts, passports and bank statements.
Pick Mindee when you have engineers and want extraction you can reason about: deterministic JSON, confidence scores on every value, bounding boxes for audit trails. Credit pricing starts at €44/mo billed annually, and chaining classification with extraction in one call saves glue code. If you want a finished accounts-payable GUI, or your volume is low enough that manual entry costs less, look elsewhere.
Verified 1d ago · liveness 77/100 · cite: rightaichoice.com/tools/mindee
- Accounts payable teams building touchless invoice processing with line-item extraction
- Expense platforms parsing itemized receipts, taxes and merchant details
- Onboarding and KYC flows verifying IDs, passports and proof of address in one file
- Financial reconciliation pipelines digitizing multi-page bank statements
- Teams needing fully offline or on-premises document processing
- Low-volume projects where manual data entry costs less than a credit block
- Buyers wanting a ready-made GUI accounts-payable product instead of an API
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Skip Mindee if you want a finished accounts-payable or expense product with its own review UI rather than an extraction API your engineers have to wire into your stack.
An extraction that returns a confidence score costs 1.5 credits per page instead of 1, so the cheapest headline rate applies only to unscored extractions.
Mindee's entry tier at €44/mo billed annually (€529/year) for 6,000 credits and one seat fits a small engineering team or a pilot project; scaling credit volume to 300,000 stays on Starter pricing, and unlimited seats arrive at €116/mo billed annually (€1,393/year) on Pro. Enterprise is an annual contract with a 500,000+ credit minimum and custom pricing. Against LLM-only extraction stacks you can start near zero, and against finished AP platforms Mindee is usually the cheaper line item — you
In short
Mindee — Mindee's OCR and document processing API returns typed, scored JSON from invoices, receipts, passports and bank statements. Best for Accounts payable teams building touchless invoice processing with line-item extraction, Expense platforms parsing itemized receipts, taxes and merchant details, Onboarding and KYC flows verifying IDs, passports and proof of address in one file. Free to start; paid plans from €44/mo.
No head-to-head comparison for Mindee yet — the alternatives below are the closest matches we list.
What's new in Mindee
Checked 4 days agoAcross the latest 1 update: 1 launch.
What people actually say about Mindee — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
20 mentions across 1 source (YouTube) · researched Aug 24, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +Zero training for pre-built models on invoices, receipts, passports, and more.
- +Supports all alphabets and languages — good for global teams.
- +Chains pre-processing (split, classify, crop) with extraction in one call.
- +Continuous learning with RAG lets you improve accuracy over time.
- +Granular confidence scores and bounding boxes make extraction verifiable.
- −Installation issues (DLL errors, module recognition) can frustrate beginners.
- −Limited documentation for non-Python web integrations (HTML/jQuery).
- −Credit-based pricing adds up if you process many pages.
- −No clear community forum or support channel for quick help.
- −Pre-trained models may not handle niche document types without custom training.
- • Overage credits if you exceed your monthly quota
- • Custom model training (continuous learning) may incur extra credits per correction
- • Annual billing is required for the starting price; monthly costs more
Viability Score
How well maintained and how widely used is Mindee? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Extract structured JSON from PDFs, photos, scans and handwritten documents
- Pre-built models for invoices, receipts, passports, resumes, bank statements, IBAN and bills of lading
- Custom extraction models with your own data schema, no retraining from zero
- Confidence scores on every extracted value for human-review routing
- Bounding boxes (polygons) trace each value back to its source page
- Classifier labels one-document-per-page uploads into your own classes
- Splitter breaks multi-page files into separate documents, up to 200 pages and 100 MB
- Edge detector isolates several documents photographed on one page with coordinates
- Chaining runs classification and extraction in one API call at no extra credit cost
- RAG knowledge base refined with your validated documents, unlimited from Starter
- Supports PDF, JPEG, PNG, TIFF, HEIC and WEBP in any alphabet or language
- SDKs for Python, Node.js, Java, .NET, PHP and Ruby
- No-code connectors for Zapier, Make and n8n
- Data processing localization in the EU or US
- Live model testing with an in-platform AI assistant
About Mindee
Mindee is a document processing API built for developers and product teams who want extraction primitives rather than a finished app. Photos, PDFs, scans and handwritten files go in; structured, typed JSON comes out. Pre-built models cover invoices with line items and totals, itemized receipts, passports with MRZ and expiry dates, resumes, multi-page bank statements, IBAN bank details, bills of lading, ID cards and driver's licenses. No model training is needed, and any alphabet or language is supported across PDF, JPEG, PNG, TIFF, HEIC and WEBP inputs. Four platform pieces sit above raw extraction. The Data extractor pulls fields from a single document or lets you define your own schema; the Classifier labels one-document-per-page uploads into your own classes; the Splitter breaks a long scanner PDF into separate records (up to 200 pages and 100 MB per file); and the Edge detector isolates several documents photographed on one page, returning border coordinates for mobile capture flows. What sets it apart from LLM-only pipelines is auditability. Every value carries a confidence score, so you can auto-ingest certain fields and route shaky ones to human review, and every value carries bounding boxes tracing it back to the source. Output is deterministic and normalized, which means fields map straight to a CRM or ERP without retry logic. A RAG knowledge base, unlimited from Starter, lets you feed validated documents back as examples to sharpen accuracy on your own layouts. Deploy through SDKs (Python, Node.js, Java, .NET, PHP, Ruby), manual API calls, or no-code connectors like Zapier (launched November 2025), Make and n8n. Pricing is credit-based, starting at €44/mo billed annually after a 14-day free trial. The trade-off versus LLM-only approaches: you operate the surrounding workflow and review UI yourself.
Behind the Verdict
Mindee earns its place when extraction accuracy has to survive an audit. Every field comes back typed, normalized and scored, with bounding boxes pointing at the pixels it came from. For AP teams, KYC flows or reconciliation pipelines, that combination matters more than a few points of raw accuracy. Where it bites is the workflow around the API. Mindee hands you JSON; it doesn't hand you a review queue, a supplier-matching layer or an approval flow. Budget engineering time for that, or pair it with a product that already has one. We'd reach for Mindee on mixed batches. Chaining classification and extraction in a single call, at no extra credit cost, is the kind of detail that saves weeks of glue code when a folder holds invoices, receipts and delivery notes together. The Splitter and Edge detector handle the messy scanner and phone-camera inputs that break simpler OCR APIs. Pass on it if you need on-premises or fully offline processing, or if your monthly document volume is small enough that a credit block costs more than a part-time data entry clerk. Credits also expire at the end of each billing period, so size your plan to real throughput rather than buying headroom you won't burn. Compared with LLM-only extraction, Mindee trades flexibility for predictability. An LLM can improvise on an unusual layout; Mindee returns the same result every run, which is what you want when the output feeds an ERP. If you'd rather have a ready-made AP product with a GUI, Docsumo or Reducto are the closer comparisons, and both bundle more of the workflow.
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Real-world workflow fit
Concrete scenarios for the personas Mindee actually fits — and what changes day-one when you adopt it.
Wire Mindee's invoice model into an existing approval tool: upload supplier PDFs to the API, read line items, totals and supplier details from the JSON, and route any field whose confidence score falls below a threshold to a human queue.
Outcome: Invoice data lands in the ERP as typed, normalized fields without a separate parsing or retry layer, and auditors can trace each value back to its polygon coordinates.
Use Border detector and Splitter to handle batches where employees photograph several receipts on one page, then Extractor to pull merchant, tax and total fields from each isolated receipt via a single Chaining call.
Outcome: One API call turns a messy photo batch into separate receipt records, so employees stop splitting images by hand in the app.
Run passports, ID cards and proof-of-address documents through Classifier to label each page, then extract MRZ, expiry dates and IBAN from the labeled pages and store the confidence scores alongside the record.
Outcome: Onboarding reviewers only open the documents Mindee flagged as low confidence, instead of checking every submission manually.
Use Cases
- Extract line items and totals from global invoices in any language or format.
- Pull itemized totals, taxes and merchant details from receipts for expense management.
- Classify incoming documents by type and route each file to the right workflow.
- Split multi-page uploads into individual documents for separate processing.
- Isolate multiple receipts scanned onto one page into standalone images.
- Capture identity data, MRZ and expiry dates from passports and driver's licenses for onboarding.
- Digitize transactions, balances and account details from multi-page bank statements.
- Improve extraction accuracy on edge cases by uploading past corrections into the RAG knowledge base.
Models Under the Hood
as of 2026-10-16
Limitations
- Mindee ships primitives, not a finished application: extraction, classification, splitting and border detection are API outputs, and features like the Data extractor, Classifier, Splitter and Border detector must be integrated into your own workflow via API or SDKs.
- Pricing is credit-based (e.g.
- Starter at 44/month billed annually with 6,000 credits and roughly 0.044 per credit at that tier), and the evidence notes credits can expire based on the subscription period.
- The 14-day free trial is the entry path before credit-based billing begins, and every plan includes the full Mindee API but only 1 full seat at the Starter level.
as of 2026-10-09
Verification history
We have re-verified Mindee 22 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Mindee tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
€44/mo billed annually (€529/year)
Ideal for
A single developer or small engineering team running a pilot or low-volume production pipeline under roughly 6,000 pages a month.
What this tier adds
Starting paid tier: all core pre-built models, confidence scores, polygons, utilities and Chaining, unlimited RAG, 1 full seat.
Pro
€116/mo billed annually (€1,393/year)
Ideal for
A product team putting extraction into a shared codebase where several engineers or reviewers need their own workspace access.
What this tier adds
Adds unlimited seats plus live chat support and data processing localization on top of everything in Starter.
Enterprise
Custom
Ideal for
High-volume operations at a bank, insurer or large platform that needs custom security, deployment and compliance terms.
What this tier adds
Adds 500,000+ credit annual commitments, custom SLAs, dedicated account manager, premium support and paid solution-engineering hours.
Where the pricing makes sense
The company stage and team size where Mindee's pricing actually pencils out — and where peers do it cheaper.
Mindee's entry tier at €44/mo billed annually (€529/year) for 6,000 credits and one seat fits a small engineering team or a pilot project; scaling credit volume to 300,000 stays on Starter pricing, and unlimited seats arrive at €116/mo billed annually (€1,393/year) on Pro. Enterprise is an annual contract with a 500,000+ credit minimum and custom pricing. Against LLM-only extraction stacks you can start near zero, and against finished AP platforms Mindee is usually the cheaper line item — you
Setup time & first value
How long it actually takes to get something useful out of Mindee — broken out by persona, not the marketing-page minute.
Developers can use Mindee's app to upload a sample document, define fields and see results before writing code, so a first extraction usually lands the same day. A production wiring with confidence-based review routing typically takes a few days of engineering, plus a 14-day free trial period before credit-based billing starts.
Switching to or from Mindee
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual data entry: start with the Mindee app to define fields on your own sample documents, then move that configuration into an API call once you've validated accuracy.
- →From a pure LLM extraction prompt: swap in Mindee's pre-built models for invoices, receipts or passports and keep your LLM for reasoning, since Mindee returns confidence scores and polygon coordinates the prompt cannot.
- →From a generic OCR service: add Classifier and Extractor so pages are typed and fields are normalized before they reach your database, rather than shipping raw OCR text downstream.
- →From an in-house parser: replace per-layout rules with a pre-built model, then upload your validated corrections into the RAG knowledge base to cover layouts the model missed.
- ↗To Docsumo: move if you need a finished review UI and exception-handling workflow rather than an API you operate yourself.
- ↗To Reducto: move if your pipeline is document-understanding-first and you prefer a broader parsing layer over Mindee's typed extraction models.
- ↗To Koncile AI: move if you want a different document AI stack and are willing to rebuild the field mappings you defined in Mindee.
- ↗To a self-hosted OCR stack: move if offline or on-premises processing is a hard requirement, accepting the accuracy and maintenance trade-off.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Mindee”, and we withheld 6: 6 could not be judged, because “Mindee” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Mindee.
Official links
Tools that pair well with Mindee
Common stack mates teams adopt alongside Mindee, with the specific reason each pairing earns its keep.
Extracta.ai
No-code AI extraction that turns invoices, resumes, contracts, receipts and custom documents into structured JSON.
DocLine.ai
DocLine.ai extracts data from invoices, receipts, contracts, and forms using pre-trained document AI models and no-code custom field
Rossum
AI document processing for invoices, customs and order paperwork with validated ERP writeback, now part of Coupa
Alternatives to Mindee
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Extracta.ai
No-code AI extraction that turns invoices, resumes, contracts, receipts and custom documents into structured JSON.
DocLine.ai
DocLine.ai extracts data from invoices, receipts, contracts, and forms using pre-trained document AI models and no-code custom field
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