Gemina Invoice OCR API

Gemina Invoice OCR API extracts typed JSON from invoices and related financial documents, making it a strong fit for developers adding document extraction to their own workflows. Its structured fields, confidence ratings, and correction flow are useful; teams needing invoice approvals or accounting connections will need other software for those steps.

Overview

The API handles invoices, credit notes, receipts, expense claims, purchase orders, statements, and remittance advice. For invoices, it can return vendor details, identifiers, dates, amounts, taxes, discounts, and line-item values such as quantity, unit price, and line total. Custom schemas extend that structure to fields a team defines.

Confidence ratings mark each extracted field as high, medium, or low, and a human verification flow supports corrections. This gives teams a way to review extracted values, but Gemina stops short of approval routing, three-way matching, ERP connectors, and a review cockpit. It is an extraction component, not a full invoice-processing workflow.

Key features

Reusable schemas

A schema can be built from one sample document without a labeled training set or model fine-tuning. That makes it practical to adapt extraction to a document format without preparing training data. Paid plans cap the number of templates, so teams handling many distinct layouts should compare those limits with their needs.

Model and integration choices

The API offers Invictus, Praetorian, and Velox, with different speed and accuracy tradeoffs. Gemina provides an official SDK and REST API; its FileTag feature is also available over MCP for compatible agents such as Claude Desktop and Cursor. This suits teams building around APIs or supported agent tools, while it does not provide accounting integrations.

Data controls

Customers can choose processing and storage in North America, Europe, Asia, or the Middle East. Gemina says stored data is encrypted with AES-256, connections use TLS 1.2 or higher, and customer documents are not used to train models. It states that it is GDPR and CCPA compliant. Its Trust Center says AppSec Labs tested the staging API and console, and that findings were fixed and independently verified.

Pricing

Gemina has a free plan and paid plans from $25 per month. The free Starter plan is free forever and includes 1,500 FileTag tags per month, seven-day retention, and FileTag extraction only. It is a limited entry point for FileTag use rather than a paid-plan equivalent with credits and templates.

Bronze costs $25 per month for 1,000 credits, 3,000 FileTag tags per month, one template, one-month retention, and email support. It suits a small deployment with one schema. Bronze Plus costs $100 per month for 4,200 credits, 6,000 tags, three templates, three-month retention, and email support; it gives growing workflows more room for schemas and retained documents.

Silver is $250 per month for 11,000 credits, 12,000 tags, five templates, one-year retention, and email support. Gold is $500 per month for 24,000 credits, 30,000 tags, 15 templates, always-on retention, and personal support. These tiers scale usage and retention alongside support, so the right choice depends on volume and how long documents need to remain stored.

Enterprise has custom pricing, with unlimited scalability, dedicated support, pay-as-you-go billing, and volume discounts available. Paid tiers from Bronze through Silver list email support; Gold lists personal support. The plans specify monthly prices and quotas, but no trial length or seat count.

Platforms

Gemina is offered as an API. Its SDK, REST API, and MCP access for FileTag support integration into software teams' own systems and compatible agents. It does not list an accounting integration.

Who it's for

Gemina is best suited to developers and businesses that want structured extraction across invoices and related financial documents, need confidence signals and a correction path, and can supply the surrounding workflow themselves. It is a poor fit for teams seeking a ready-made system for approvals, purchase-order matching, ERP connectivity, or accounting integrations.

Pros and cons

• Pros: Extracts invoice headers and line items into typed JSON, with custom schemas for additional fields.
• Pros: Confidence ratings and human verification support review of extracted values.
• Pros: A reusable schema can start from one sample without labeled training data or fine-tuning.
• Pros: Regional processing and storage choices cover North America, Europe, Asia, and the Middle East.
• Cons: No approval routing, three-way matching, ERP connector, or review cockpit, so teams must handle those workflows elsewhere.
• Cons: The free plan is limited to FileTag extraction and seven-day retention.
• Cons: Paid plans cap credits, FileTag tags, templates, and retention, with higher usage and longer retention requiring more expensive tiers.
• Cons: No accounting integrations are offered.

Alternatives

For a broader set of invoice-processing options, browse Invoice Processing Software.

• Veryfi Invoices OCR API is worth comparing if you need Android, iOS, or web access alongside an API; its stated invoice price is $0.16 per invoice with a $500 monthly minimum commitment.
• invoice2data is a free option for teams that prefer Linux, macOS, Windows, or self-hosted software.
• Invofox offers a free tier with 500 pages, pre-trained models for several document types, a REST API, and community support; consider it if those terms suit your starting volume.
• Nanonets Invoice OCR is an alternative with API, self-hosted, and web platforms; its starter offer begins with $50 in credits.
• OpenInvoice is free and open source, with paid deployment, integration, and ongoing support offered as a B2B service.
• Parseur is another API and web option, with a free plan capped at 20 pages per month and one user.
• ABBYY FlexiCapture for Invoices is an alternative available across API, self-hosted, web, and Windows platforms.
• AppZen is a paid API and web alternative with subscription fees set in a Services Agreement.

Verdict

Choose Gemina if you want invoice and related document fields extracted into structured JSON, with confidence ratings and a correction flow that your team can build around. Its flexible schemas and regional data choices are useful for custom pipelines. Look elsewhere if you need approvals, matching, ERP or accounting connections, or an end-to-end invoice-processing system.