Gemina Invoice OCR API

Gemina Invoice OCR API converts invoices and related financial documents into typed JSON for software teams building their own processing pipelines. It is best suited to developers who need structured fields, confidence signals, and a correction step rather than a complete accounts-payable application. The main trade-off is clear: extraction is well covered, while approvals, matching, and accounting connections are outside its scope.

Overview

The service handles invoices, credit notes, receipts, expense claims, purchase orders, statements, and remittance advice. Invoice output can include vendor details, identifiers, dates, amounts, taxes, discounts, and line-item values such as quantity, unit price, and line total. Custom schemas let a team define additional typed fields instead of being limited to a fixed invoice layout.

Every extracted field is marked high, medium, or low confidence. Gemina also provides a human verification flow for correcting values. That is useful when a pipeline needs targeted review of uncertain data, but it does not turn the product into an approval system: there is no approval routing, three-way purchase-order matching, ERP connector, or review cockpit.

Key features

Schema-driven extraction

A reusable schema can be created from one sample document, without a labeled training set or model fine-tuning. This reduces preparation work when adapting the API to a customer-specific document format. Template quotas become important for teams supporting many different layouts.

Model and integration options

Invictus, Praetorian, and Velox provide a choice of accuracy and speed trade-offs, allowing an implementation to favor throughput or recognition quality. Gemina documents an official SDK and REST API. Its FileTag feature is also exposed over MCP for compatible agents such as Claude Desktop and Cursor, which may help teams incorporating document extraction into agent workflows.

Security and residency

Customers can select North America, Europe, Asia, or the Middle East for processing and storage. Stored data is encrypted with AES-256, connections use TLS 1.2 or higher, and customer documents are not used to train models. Gemina states GDPR and CCPA compliance. AppSec Labs performed a penetration test of the staging API and console; reported findings were fixed and independently verified.

Pricing

Gemina uses a freemium structure with paid plans from $25 per month. Starter is free forever and includes 1,500 FileTag tags per month, seven-day retention, and FileTag extraction only. It is suitable for experimenting with the feature, but not for the full invoice extraction workflow.

Bronze costs $25 a month and provides 1,000 credits, 3,000 FileTag tags per month, one template, one-month retention, and email support. Bronze Plus is $100 a month with 4,200 credits, 6,000 tags, three templates, three-month retention, and email support. Silver costs $250 a month, raising the allowance to 11,000 credits and 12,000 tags, with five templates, one-year retention, and email support.

Gold is $500 a month and includes 24,000 credits, 30,000 tags, 15 templates, always-on retention, and personal support. Enterprise uses custom pricing with unlimited scalability, dedicated support, pay-as-you-go billing, and volume discounts. The paid tiers are differentiated not only by processing capacity but also by retention, template count, and support, so the cheapest paid option fits a small integration rather than a broad document operation.

Platforms

Gemina is delivered as an API. The SDK, REST interface, and MCP access are relevant to teams integrating it into applications or agent environments, rather than users seeking a standalone desktop or mobile invoice tool.

Who it's for

Choose Gemina when your developers need typed invoice data, line-item extraction, configurable schemas, and confidence-guided human correction in a custom workflow. Regional processing choices and stated security controls also suit organizations with residency and data-protection requirements. Look elsewhere if your priority is built-in approval, purchase-order matching, ERP connectivity, or an operational review workspace.

Pros and cons

• Pros: Broad coverage across invoices and adjacent financial documents, including detailed line items.
• Pros: Confidence ratings and a correction flow make uncertain fields reviewable instead of silently accepted.
• Pros: One-sample schema creation avoids labeled training data and fine-tuning.
• Pros: Multiple models, SDK/REST access, and MCP support give implementers deployment choices.
• Cons: No approval routing, three-way matching, ERP connector, or review cockpit; downstream workflow must be built elsewhere.
• Cons: Starter is limited to FileTag extraction, while paid plans impose credit, tag, template, and retention ceilings.

Alternatives

For a wider comparison, see Invoice Processing Software.

Veryfi Invoices OCR API is a fit for teams wanting API access across Android, iOS, web, and API, with a $500-per-month Starter commitment and per-invoice pricing.

invoice2data suits users seeking free, self-hosted software across Linux, macOS, and Windows with no paid tiers or stated usage limits.

Invofox is worth considering for API, web, or self-hosted deployments with a free 500-page tier and pre-trained models for several document types.

Nanonets Invoice OCR is an option for teams wanting API or self-hosted access plus email integration and cloud storage in its entry offering.

Parseur fits email-oriented extraction, with a free plan covering up to 20 pages per month, one user, and 90-day retention.

DocuClipper Invoice Approval is the better direction when an approval-focused product is more important than an extraction-only API.

OpenInvoice is a free, open-source option when self-hosting and a separate paid deployment or integration service are acceptable.

Tungsten Power PDF is for desktop PDF editing and conversion rather than API-based invoice extraction.

Verdict

Gemina is a strong choice for developers building invoice and financial-document pipelines that need structured JSON, configurable schemas, confidence ratings, and human correction. Its decisive weakness is architectural: approval, matching, ERP integration, and review operations remain your responsibility. Pick it for an extraction layer; choose another product when those downstream controls are the core requirement.