Nanonets is an AI-based OCR software that helps businesses extract data from documents with high accuracy.
Custom pricing
Best Google Document AI Alternatives ranked by AI · updated Aug 2026
Google Document AI provides OCR, layout analysis, and custom document extraction through cloud APIs. Developers can use its processors and custom parsers to extract structured data from menu scans and PDFs.
Top 6 Google Document AI alternatives
Klippa is a digital receipt and expense management software that helps individuals and businesses track their expenses and manage their receipts efficiently.
Starting at $9.99/month
3
Menu Parser
Menu Parser
Menu Parser is an online service for extracting structured restaurant menu data from images, PDFs, and web pages. It is intended for...
Pros
- Designed specifically for restaurant menu structures rather than generic documents
- Can reduce manual entry of menu items, prices, and categories
- More focused on menu data workflows than general-purpose OCR tools
Cons
- Less broadly documented than major cloud document-processing platforms
- May provide fewer controls for custom document schemas and extraction rules
- Pricing and API limits are not clearly published
4
Amazon Textract
Amazon Web Services
A managed OCR service that extracts printed text, forms, and tables from images and documents. It can serve as the text-extraction layer...
Pros
- Reliable text extraction for labels and supporting documents
- Fits naturally into AWS storage, Lambda, and data pipelines
- Usage-based pricing works well for variable workloads
Cons
- Not an alcohol-label recognition product by itself
- Needs additional logic to identify brands, beverage types, and variants
- Less convenient than Api4.ai for a narrowly defined beverage workflow
From $1.50 per 1,000 pages for text detection
5
Mindee
Mindee
A developer-focused document and image extraction platform with prebuilt and customizable OCR models. Teams can use its APIs or custom models to...
Pros
- Offers structured extraction rather than only raw OCR text
- Customizable models are better suited to specialized label fields
- Developer-friendly APIs and SDKs simplify application integration
Cons
- Requires model configuration for alcohol-specific labels
- Less directly specialized for beverage recognition than Api4.ai
- Custom extraction quality depends on training data and field design
Free tier; paid plans from about $50/mo
6
Azure AI Document Intelligence
Microsoft
Azure AI Document Intelligence is a cloud service that uses OCR and machine learning to extract text, fields, tables, and document structure....
Pros
- Developer-friendly APIs and SDKs for custom applications
- Integrates closely with Azure AI, storage, security, and data services
- Supports prebuilt and custom extraction models
Cons
- Requires application development for complete workflows and user experiences
- Less turnkey than Botminds for business-user configuration
- Cloud-only Azure dependency may limit deployment flexibility
Pay-as-you-go; free tier available
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