Comparación de herramientas de IA para OCR y procesamiento de documentos
Agentes que convierten texto en imágenes, PDFs o escaneos en texto legible por máquina, a menudo combinando OCR (reconocimiento óptico de caracteres) con flujos de ingesta de documentos, búsqueda, extracción y exportación.
Para comparar modelos de lenguaje, consulta nuestros benchmarks de modelos.
| Product | Released | Type | Open Source | Structured Extraction | Handwriting | Output | Price | Description | |
|---|---|---|---|---|---|---|---|---|---|
Amazon Textract Amazon | May 2019 | API | JSON | FreeUsage-based $0.0015–0.05/pg | OCR API with specialist tools for expenses, IDs, and mortgage lending packages. Queries API enables natural-language questions about document content. No custom model training — relies entirely on prebuilt models. | ||||
| Azure Document Intelligence | Mar 2020 | APIApplication | JSONMD | FreeUsage-based $0.0015–0.03/pg | Document processing service with prebuilt models for invoices, W-2s, insurance cards, bank statements, tax forms, and more. Custom Neural Models trainable with 5+ labeled samples; Composite Models combine multiple extractors under one endpoint. Available as on-premises containers. | ||||
| Google Document AI | Apr 2021 | API | JSON | Usage-based $0.0015–0.03/pg | OCR API with handwriting recognition across 50+ languages and math formula detection. ~16 processor types across lending, procurement, and identity categories. Gemini-powered custom extraction trainable on labeled samples. | ||||
| Unstructured.io | Sep 2022 | APIApplication | JSON | FreeUsage-based $0.03/pg | Document processing pipeline that converts 65+ file types into LLM-ready chunks — designed for RAG ingestion, not extracting named fields like invoice numbers. 30+ source and destination connectors (S3, Salesforce, Pinecone, etc.) move data from enterprise sources to vector databases. | ||||
| Mistral OCR | Mar 2025 | APIApplication | MDHTMLJSON | FreeUsage-based $0.002/pg | Vision-language model OCR service, now on its third generation (OCR 3, Dec 2025). Structured extraction via Annotations with Pydantic/JSON schemas. European-hosted; batch mode at half price. | ||||
| ABBYY Vantage | Aug 2021 | APIApplication | JSONXMLCSVPDFDOCXXLSXTXT | SubscriptionEnterprise From ~$5,000/yr | Enterprise document processing platform with 150+ pre-trained extraction skills across finance, healthcare, logistics, and more. RPA integrations with UiPath, Blue Prism, and Automation Anywhere. On-premises deployment available. | ||||
| LlamaParse | Feb 2024 | API | MDTXTJSONXLSXPDF | FreeUsage-based $0.00125–0.06/pg | RAG-native parser with multimodal output — extracts text and image chunks optimized for LLM ingestion. Auto Mode routes pages to the cheapest tier that meets accuracy requirements. Part of the LlamaIndex ecosystem. | ||||
| Mathpix | Apr 2018 | APIApplication | LaTeXMDDOCXHTMLPDF | FreeUsage-based $0.005/pg | STEM-focused OCR tool that extracts math equations, chemical structures, and scientific notation to LaTeX. Handles two-column journal layouts and inline/block equations. Snip app and Overleaf integration for academic workflows. | ||||
| Marker | Dec 2023 | API | MDJSONHTMLChunks | FreeUsage-based Free / $0.004/pg | Self-hostable pipeline built on sub-billion-parameter Surya models supporting 90+ languages. Runs on consumer GPUs; optional LLM hybrid mode (e.g., Gemini) improves accuracy on complex layouts. | ||||
| Nanonets | Jan 2017 | APIApplication | JSONCSVMDTXTHTML | FreeUsage-based $0.02–0.30/run | End-to-end document workflow platform — OCR plus approval loops, ERP sync (NetSuite, SAP, QuickBooks), and AP/AR automation. Template-free extraction adapts to new vendor layouts without configuration. | ||||
| Reducto | Feb 2024 | APIApplication | JSONMDHTMLCSV | FreeUsage-based $0.015/credit | Multi-pass pipeline with agentic self-correction — purpose-built for complex documents with charts, diagrams, and nested tables. SOC 2 Type II and HIPAA compliant with zero-retention processing. | ||||
| Upstage Document Parse | Oct 2024 | API | HTMLMD | FreeUsage-based $0.01–0.03/pg | Document parsing API with CJK language support (Korean-founded). Layout-aware HTML output preserving reading order at ~0.6 sec/page. Information Extract API (2025) adds structured field extraction. | ||||
| Docsumo | Jun 2019 | APIApplication | JSONCSVExcel | SubscriptionEnterprise Custom pricing | Financial services specialist with 100+ pre-trained models for lending, banking, and insurance documents. Auto-classification, completeness checking, and human-in-the-loop validation workflows. Custom model training from as few as 20 labeled samples. | ||||
| Rossum | Jan 2017 | APIApplication | JSONXMLCSVXLSX | SubscriptionEnterprise From $1,500/mo | Document automation platform for invoices, POs, and shipping docs. Powered by Aurora, a proprietary LLM trained on 11M transactional documents. Template-free extraction with three-way matching (PO/invoice/receipt) across 276 languages. |
Resumen del panorama
La tabla compara herramientas OCR según tipo (API vs aplicación), estado open-source, extracción de campos, reconocimiento de escritura a mano, formatos de salida y precios. La mayoría son APIs; varias también ofrecen interfaces de aplicación (Azure Document Intelligence, Mistral OCR, ABBYY Vantage, Nanonets, Reducto, Docsumo, Rossum). Entre las opciones open-source están Marker (totalmente open-source) y Unstructured.io, Nanonets y Reducto (parcialmente open-source). La extracción de campos está soportada por la mayoría de herramientas; LlamaParse, Unstructured.io y Upstage ofrecen soporte parcial, mientras que Mathpix no. El reconocimiento de escritura a mano varía: Amazon Textract, Azure, Google Document AI, Mistral OCR, ABBYY, LlamaParse, Mathpix, Reducto, Docsumo y Rossum lo admiten por completo; otras lo admiten parcialmente o no lo admiten. Los precios van desde self-hosting gratuito (Marker) y precios de API por página ($0.001–0.06/página) hasta suscripciones empresariales anuales ($1,500+/mes para Rossum, $5,000+/año para ABBYY).
Preguntas frecuentes
AI OCR tools extract text, tables, and structured data from documents, images, and handwriting. Unlike general chatbots that can read PDFs via vision APIs, these tools are purpose-built for document processing with specialized models for layout detection, table recognition, and field extraction.
Marker is fully open-source and self-hostable. Unstructured.io, Nanonets, and Reducto have partially open-source components (open-source core or model weights with proprietary platforms). The rest are closed-source. Check the Open Source column in the table.
Full handwriting support is available in Amazon Textract, Azure Document Intelligence, Google Document AI, Mistral OCR, ABBYY Vantage, LlamaParse, Mathpix, Reducto, Docsumo, and Rossum. Marker, Nanonets, and Unstructured.io offer partial support. Upstage Document Parse does not support handwriting. Check the Handwriting column in the table.
Most tools support field extraction for invoices, receipts, forms, and similar documents. LlamaParse, Unstructured.io, and Upstage offer partial support. Mathpix does not — it specializes in STEM content (equations, diagrams, scientific notation). Check the Field Extraction column in the table.
We compare tools across type (API vs application), open-source status, field extraction, handwriting recognition, output formats, and pricing. Our table is updated regularly. View LLM benchmarks