AI OCR 与文档处理工具比较
将图像、PDF 或扫描件中的文本转换为机器可读文本的智能体，通常在 OCR（光学字符识别）之上提供文档导入、搜索、提取和导出等工作流。
如需比较语言模型，请参阅我们的模型基准测试。
| 产品 | 发布 | 类型 | 开源 | 结构化提取 | 手写 | 输出 | 价格 | 描述 | |
|---|---|---|---|---|---|---|---|---|---|
Amazon Textract Amazon | May 2019 | API | JSON | 免费按用量 $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 | API应用 | JSONMD | 免费按用量 $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 | 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 | API应用 | JSON | 免费按用量 $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 | API应用 | MDHTMLJSON | 免费按用量 $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 | API应用 | JSONXMLCSVPDFDOCXXLSXTXT | 订阅企业版 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 | 免费按用量 $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 | API应用 | LaTeXMDDOCXHTMLPDF | 免费按用量 $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 | 免费按用量 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 | API应用 | JSONCSVMDTXTHTML | 免费按用量 $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 | API应用 | JSONMDHTMLCSV | 免费按用量 $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 | 免费按用量 $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 | API应用 | JSONCSVExcel | 订阅企业版 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 | API应用 | JSONXMLCSVXLSX | 订阅企业版 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. |
市场概览
该表从类型（API 或应用）、开源状态、字段提取、手写识别、输出格式和价格等方面比较 OCR 工具。大多数工具基于 API；部分产品也提供应用界面（Azure Document Intelligence、Mistral OCR、ABBYY Vantage、Nanonets、Reducto、Docsumo、Rossum）。开源选项包括完全开源的 Marker，以及部分开源的 Unstructured.io、Nanonets 和 Reducto。大多数工具支持字段提取；LlamaParse、Unstructured.io 和 Upstage 提供部分支持，Mathpix 则不支持。手写识别能力各异：Amazon Textract、Azure、Google Document AI、Mistral OCR、ABBYY、LlamaParse、Mathpix、Reducto、Docsumo 和 Rossum 完全支持，其他产品则部分支持或不支持。价格从免费的自托管方案（Marker）、按页计费的 API（每页 0.001–0.06 美元），到年度企业订阅（Rossum 每月 1,500 美元起，ABBYY 每年 5,000 美元起）不等。
常见问题
AI OCR 工具可从文档、图像和手写内容中提取文本、表格和结构化数据。与通过视觉 API 读取 PDF 的通用聊天机器人不同，这些工具专为文档处理而打造，配备了用于版面检测、表格识别和字段提取的专用模型。
Marker 完全开源且可自行托管。Unstructured.io、Nanonets 和 Reducto 拥有部分开源组件（开源核心或模型权重，搭配专有平台）。其余为闭源。请查看表中的“开源”列。
完整的手写支持见于 Amazon Textract、Azure Document Intelligence、Google Document AI、Mistral OCR、ABBYY Vantage、LlamaParse、Mathpix、Reducto、Docsumo 和 Rossum。Marker、Nanonets 和 Unstructured.io 提供部分支持。Upstage Document Parse 不支持手写。请查看表中的“手写”列。
大多数工具支持从发票、收据、表单及类似文档中提取字段。LlamaParse、Unstructured.io 和 Upstage 提供部分支持。Mathpix 不支持——它专注于 STEM 内容（公式、图表、科学记号）。请查看表中的“字段提取”列。
我们从类型（API 与应用）、开源状态、字段提取、手写识别、输出格式和价格等方面比较工具。我们的表格会定期更新。 查看 LLM 基准测试