Absolutely. Many companies use hybrid architectures: OCR APIs handle the structured extraction layer, providing clean field-level data, while LLMs add reasoning, enrichment, or summarization afterward. This approach delivers cost efficiency, accuracy, and advanced AI capabilities where they add the most value.

An OCR API is designed to extract structured data fields (like invoice numbers, dates, amounts) from business documents with high accuracy and predictable outputs.
A Large Language Model (LLM) like GPT-4 can handle more complex reasoning and unstructured text but may hallucinate data and involve higher costs for extraction tasks. OCR APIs are usually better suited for high-volume structured documents, while LLMs are valuable for summarization, free text analysis, and reasoning.

Mindee’s pricing is structured to support businesses at every stage, from early testing to high-scale production. We offer four main subscription plans—Starter, Pro, Business, and Enterprise—each with a fixed monthly page volume and access to different features.

• Starter, Pro, and Business plans include a monthly page allowance (ranging from 500 to 10,000 pages), with additional pages charged at a per-page rate starting from $0.05.
• Enterprise plans are fully customizable and designed for organizations with specific volume, SLA, or integration needs.

Advanced features such as RAG capabilities, automation tools, and premium support are included progressively across the plans.

This model allows you to choose the plan that best fits your current needs while retaining the flexibility to scale as your usage grows.

Yes, some models may include hidden costs, such as fees for exceeding API call limits, additional charges for advanced features, or costs for data security compliance. It's crucial to evaluate the total price and transparency of the pricing structure before committing.