Summarize this article with:
- For users seeking a cost-effective engine, opting for an open-source model is the recommended choice.
- While open source models offer many advantages, they also come with some potential drawbacks: not entirely cost free, lack of support, limited documentation, security concerns, and scalability and...
- Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs.
- Our standardized API enables you to integrate ID Parser APIs into your system with ease.
- Microsoft Azure Form Recognizer includes pre-built models for identity documents, enabling extraction of data from passports, national IDs, and driver's licenses.
What is ID Parser API?
ID/Passport parsing APIs, also called Identity Document Processing APIs, are used to automate the extraction of relevant data from identity documents such as passports, driver's licenses, and national ID cards. These APIs use OCR and machine learning to extract structured data from identity documents quickly and accurately.

Top Open Source (Free) ID Parser models on the market
For users seeking a cost-effective engine, opting for an open-source model is the recommended choice. Here is the list of best ID Parser Open Source Models:
1. Tesseract OCR
Tesseract OCR is a highly versatile and open-source optical character recognition engine that can be adapted for ID document parsing. With proper training and configuration, it can serve as a powerful tool for developers building ID parsing solutions.
2. MRZ Parser
MRZ Parser is an open-source library that parses Machine Readable Zone (MRZ) data from identity documents such as passports and ID cards. It extracts structured information including name, nationality, date of birth, and document number.
3. PassportEye
PassportEye is a Python package for reading Machine Readable Zones from passport scans. It wraps Tesseract OCR and provides a simple interface for extracting MRZ data from passport images.
Cons of Using Open Source AI models
While open source models offer many advantages, they also come with some potential drawbacks: not entirely cost free, lack of support, limited documentation, security concerns, and scalability and performance challenges.
Why choose Eden AI?
Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.
To get started, we offer free $10 credits for you to explore our APIs.
Access ID Parser providers with one API
Our standardized API enables you to integrate ID Parser APIs into your system with ease. Available providers: Base64.ai, Klippa, Microsoft Azure, Mindee.
1. Base64.ai - Available on Eden AI
Base64.ai is a cloud-based AI service that accurately extracts data from all types of identity documents. In seconds, it discerns the document type and extracts the relevant information.
2. Klippa - Available on Eden AI
Klippa offers AI-powered document processing solutions including identity document parsing. Their API can extract data from various ID documents including passports, driver's licenses, and ID cards.
3. Microsoft Azure - Available on Eden AI
Microsoft Azure Form Recognizer includes pre-built models for identity documents, enabling extraction of data from passports, national IDs, and driver's licenses.
4. Mindee - Available on Eden AI
Mindee helps software product teams build lightning-fast, accurate document processing automation including identity document parsing.
How Eden AI can help you?
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
- Centralized and fully monitored billing on Eden AI for ID Parser APIs
- Unified API for all providers: simple and standard to use, quick switch between providers
- Standardized response format: the JSON output format is the same for all suppliers
- The best Artificial Intelligence APIs in the market are available
- Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

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