Top Free ID Parser tools, APIs, and Open Source models

What is ID Parser API?

ID/Passport Parsing or OCR ID/Passport is a cutting-edge technology that enables software and applications to swiftly recognize and extract critical information from images of recognition documents including but not limited to driving licenses, ID cards, and passports.

Through Optical Character Recognition (OCR) algorithms, the technology scans the image of the document, instantly processing the visual text of vital fields such as name, date of birth, and passport number into machine-readable text format.

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OCR ID/Passport API is widely utilized for identity verification because it automates the process of extracting data. Moreover, it saves time and mitigates the possibility of human error, as compared to manual data entry.

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Top Open Source (Free) OCR Identity 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 the best ID Parsing Open Source Models:

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1‍. tesseract

Developed by Hewlett-Packard and subsequently released as an open-source initiative, Tesseract is a widely used optical character recognition engine. Tesseract 4 incorporates a neural network (LSTM) OCR engine to recognize lines, and its OCR engine leverages the Leptonica library for image processing.

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2. OCRmyPDF

This tool adds a searchable OCR text layer to PDF files that have been scanned. It is compatible with the Tesseract and Cuneiform OCR engines and boasts a user-friendly interface.

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3. EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including: Latin, Chinese, Arabic, Devanagari, Cyrillic, etc.

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4. ocropus

OCRopus comprises document analysis programs rather than a fully functional OCR system. Before utilization on your documents, image preprocessing and conceivable new model training could be required. Additionally, there exist various scripts for recognizing, editing ground truth, rectifying errors, measuring accuracy levels, and identifying confusion matrices.

OCRopus commands typically print a stack trace and error message together, but this usually doesn't suggest an issue. (In a future release, we'll suppress the stack trace by default since it appears to confuse many users.)

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5. calamari

OCR Engine based on OCRopy and Kraken utilising python3. The software is crafted to make the command line interface user-friendly while maintaining an ability to be integrated and adjusted using other python scripts.

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6. SwiftOCR

SwiftOCR is a speedy and uncomplicated optical character recognition (OCR) software, authored in Swift. It employs neural networks to identify images. Presently, SwiftOCR is tailored to interpret brief, single-line, alphanumeric codes (e.g. DI4C9CM).

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Cons of Using Open Source AI models

‍While open source models offer many advantages, they also come with some potential drawbacks and challenges. Here are some cons of using open source models:

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• Not Entirely Cost Free: Open-source models, while providing valuable resources to users, may not always be entirely free of cost. Users often need to bear expenses related to hosting and server usage, especially when dealing with large or resource-intensive data sets.
• Lack of Support: Open source models may not have official support channels or dedicated customer support teams. If you encounter issues or need assistance, you might have to rely on community forums or the goodwill of volunteers, which can be less reliable than commercial support.
• Limited Documentation: Some open source models may have incomplete or poorly maintained documentation. This can make it difficult for developers to understand how to use the model effectively, leading to frustration and wasted time.
• Security Concerns: Security vulnerabilities can exist in open source models, and it may take longer for these issues to be addressed compared to commercially supported models. Users of open source models may need to monitor for security updates and patches actively.
• Scalability and Performance: Open source models may not be as optimized for performance and scalability as commercial models. If your application requires high performance or needs to handle a large number of requests, you may need to invest more time in optimization.

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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.

Eden AI presents a broad range of AI APIs on its platform, customized to suit your specific needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.

To get started, we offer free $10 credits for you to explore our APIs.

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Access ID Parsing providers with one API

Our standardized API enables you to integrate ID Parser APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):

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• Affinda
• Amazon
• Base64
• Klippa
• Microsoft
• Mindee

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1. Affinda- Available on Eden AI

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The Affinda ID Parser API provides resources for scrutinizing and dissecting documents, specifically those pertaining to identification. It facilitates exploration for candidates and job openings, matches abilities, and sanctions signed URLs for integrating the interface. It presents user-friendly client collections for several programming languages and sanctions the upload of documents through various parameters.

The API additionally facilitates self-hosted deployment and has recently undergone an update to a more extensive framework, capable of handling an extensive array of document types.

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2. Amazon- Available on Eden AI

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The AWS ID Parsing API is capable of extracting a range of information from different IDs and passport documents, including text, key-value pairs, and tables. It also possesses the capacity to analyze the structure and layout of an ID document to automatically extract key fields. Moreover, Amazon Textract leverages Machine Learning to enhance its accuracy and precision progressively.

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3. Base64- Available on Eden AI

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Base64.ai provides an efficient and precise API that extracts crucial information and biometric data from ID documents including passports, driver's licences, and visas, etc. This service is available in over 200 countries, and it has the capability of scanning MRZ (machine-readable zone), face image, signature image, and barcode data.

Moreover, the company's OCR technology is based on deep learning which accurately reads texts in various fonts and languages.

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4. Klippa- Available on Eden AI

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Klippa provides an ID Parsing API that autonomously scans, parses, and categorises numerous document types including passports, ID cards, and driving licenses. Furthermore, the technology incorporates functions such as document type recognition, data validation, and fraud detection to ensure precision and security in extracted data.

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5. Microsoft- Available on Eden AI

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Microsoft Azure provides an API for ID/Passport Parsing. The tool can extract information and text from travel documents including passports, visas, and driver's licenses. The API can identify the document type and orientation automatically which is particularly helpful when processing travel documents at scale. Furthermore, the API is capable of detecting text in multiple languages.

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6. Mindee- Available on Eden AI

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Mindee's technology can recognize documents from more than 150 countries and can support numerous languages, such as Arabic, Chinese, Cyrillic, and Latin. It can extract information from both MRZ (Machine-Readable Zone) and non-MRZ documents, which distinguishes it from other OCR solutions that only back MRZ documents.

Mindee's ID Parsing API also showcases customizable and pre-built document templates for various document types, streamlining and expediting integration.

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Pricing Structure for ID Parsing API Providers

Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for November 2023, as well as you can get discounts for potentially large volumes.

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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 Paarser APIs
• Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
• Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
• The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
• Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

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You can see Eden AI documentation here.

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Next step in your project

The Eden AI team can help you with your Identity Parser integration project. This can be done by :

• Organizing a product demo and a discussion to understand your needs better. You can book a time slot on this link: Contact
• By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
• By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
• Having the possibility to integrate on a third-party platform: we can quickly develop connectors.