Skip to main content
Mindee logo
Ops EfficiencyEstablished · 5 yrs on market

Mindee

Developer-first AI document processing API that turns invoices, receipts and IDs into structured JSON with no model training

By Mindee · HQ Paris, France · 4.8/5 verified-buyer score

Positioning guardrails

Best for

  • Product and engineering teams adding OCR and document extraction into their own app via a REST API and SDKs
  • Finance and AP teams automating invoice, receipt and bank statement data capture
  • Companies running KYC and onboarding that need ID, passport and driving-licence extraction
  • Teams that want pre-trained models with no data-science effort and no training data

Ideal size: 10–500 engineers or ops staff people · Scale-up or enterprise with an engineering team able to ship an API integration

Not for

  • Organisations that will not send documents to a vendor-hosted cloud API
  • Very high volume users processing more than roughly 30M pages a year, where in-house build may be cheaper
  • Buyers who want an off-the-shelf end-user application rather than an API
  • Highly proprietary document types that need fully custom, IP-owned models

Value metrics scorecard

Time-to-Value

Minutes to a few days

~2 days to first production value

Total Cost of Ownership

$1,393/yr

Starts at $529 · Credit-based subscription: 1 page = 1 credit (1.5 with confidence score); Starter and Pro monthly or annual, Enterprise annual custom contracts.

Implementation Friction

1/5

Engineering + admin effort required

Buyer Score

4.8

out of 5 · verified buyers

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Starter: 1 full seat; Pro and Enterprise: unlimited seats.

Add-on costs

  • Additional credits auto-charged at the plan unit rate plus a 20% overage surcharge
  • Extra credits from about $0.05 per credit
  • Enterprise custom models, workflow access, custom SLAs and premium support are quoted separately

Company & support

Who is behind Mindee, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
Paris, France

How you get support

  • PhoneNot listed
  • EmailNot listed
  • Live chatPlan not stated
  • Support portal / ticketsNot listed
  • Community forumAll plans
  • Help centre / docsAll plans
  • Dedicated account managerEnterprise only
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Custom SLAs available on Enterprise plans

Pricing page: Community support on Starter; live chat added on Pro; Enterprise adds dedicated account manager, premium technical support, custom SLAs and free solution engineering. Developer docs and resources are publicly available.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Mindee sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$900/yr$1k/yr$3k/yr$7k/yr0d1d2dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyMindeeOptimoRouteWagepointSurePayrollRelayMelio

The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.

Mindee is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Mindee
  • OptimoRoute
  • Wagepoint
  • SurePayroll
  • Relay
  • Melio
Add or change companies

Up to 10 companies including Mindee. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceCustom build
AWSNot supported
SnowflakeNot supported
HubSpotCustom build
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What Mindee ships in AI, and what it asks of your ecosystem.

AI features shipped

Document processing

Vendor markets an AI/OCR extraction API with pre-trained, continuously learning models and a RAG knowledge base built from past corrections. No model-source, AI logging or AI governance details appear on the pages reviewed.

In your ecosystem

AI connection
Not supported
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 — not heldISO 27001 — not heldGDPR — not heldHIPAA — not heldFedRAMP — not heldISO 42001 — not heldIAPP AIGP* — not held

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Mindee is a developer-first document processing API that turns invoices, receipts, IDs, passports and bank statements into structured JSON with pre-trained OCR models. No training is required; integration runs through REST endpoints, SDKs (Python, Java, PHP) or webhooks, with go-live measured in minutes. Pricing is credit-based: Starter from $529/year, Pro at $1,393/year, Enterprise custom above 500,000 credits. Community support is standard, with live chat and a dedicated account manager on higher tiers.

Frequently asked questions

How does Mindee's credit-based pricing work, and what will we pay annually?

One credit is charged per processed page, or 1.5 credits where a confidence score is requested; utility operations cost 0.25 credits per page. The Starter plan starts at $529 per year (about $44 per month, billed annually) with 6,000 credits, and Pro is $1,393 per year with unlimited seats. Enterprise is an annual contract with a 500,000+ credit minimum and custom rates. Extra credits are charged automatically at your plan rate plus a 20% overage surcharge, and unused credits do not roll over between periods.

How long does implementation take, and do we need a data science team?

Mindee states its models are pre-trained on millions of data points and require no training before use, so go-live is measured in minutes rather than months. Integration is a plug-and-play REST API returning JSON, with SDKs for Python, Java, PHP and others, so a developer can embed extraction in a few lines of code; no data-science team is required. Enterprise contracts include a free 30-minute setup session plus two hours of solution engineering.

Which document types does Mindee handle out of the box?

Commonly processed documents include invoices, receipts, passports, resumes, bank statements and driving licences, in any language or alphabet, with line-item and complex-table extraction for financial files. The API can also split multi-page batches, classify documents by type before routing, and crop multiple documents scanned onto a single page. Files up to 100MB and 200 pages are supported using asynchronous polling or webhooks, and custom extraction models can be trained where a document type is not covered.

Where is our data processed and stored?

Mindee offers localized processing zones and operates a strict 'don't store my data' retention policy; data processing localization is listed as a Pro feature and above. Enterprise plans add custom security, deployment and compliance terms plus custom SLAs. The vendor pages reviewed do not publish certifications such as SOC 2, ISO 27001, HIPAA or FedRAMP, so buyers in regulated sectors should request current security documentation directly before signing.

What support is included, and is there a service-level agreement?

Support scales with the plan. Starter includes community support and one full seat; Pro adds live chat support and unlimited seats; Enterprise adds a dedicated account manager, premium technical support, custom SLAs and solution-engineering help before and after contract. Community support and developer documentation are available to everyone. Specific response-time commitments are only stated for custom Enterprise SLAs, so ask for them in writing.

Can we connect Mindee to our ERP, CRM or automation stack?

Yes, but through generic integration rather than named connectors. Mindee exposes a RESTful JSON API (XML is not returned); the vendor states you can connect it to an ERP or CRM via an ERP/CRM connector, HTTP actions in a low-code tool, an automation platform, or inbound webhooks for heavy production volumes. No MCP server and no named Salesforce, HubSpot, SAP or Snowflake integration are documented in the pages reviewed, so budget for building the last mile yourself.