ID/Passport Parsing or OCR ID/Passport (Optical Character Recognition) is a technology that allows software and application to recognize and extract information from images of identification documents such as passports, ID cards, and driver's licenses. The technology uses OCR algorithms to scan the image of the document and convert the visual text, such as name, date of birth, and passport number, into machine-readable text.
OCR ID/Passport API is commonly used for identity verification as the technology can automate the process of data extracting. Meanwhile, it saves time and reduces the risk of human error compared to manual data entry.
You can use ID/Passport OCR in numerous fields, here are some examples of common use cases:
While comparing ID/Passport Parsing APIs, it is crucial to consider different aspects, among others, cost security and privacy. ID/Passport OCR experts at Eden AI tested, compared, and used many ID/Passport OCR APIs of the market. Here are some actors that perform well (in alphabetical order):
Affinda's API harnesses advanced OCR and AI technologies to accurately extract text, key information, and biometric data from a wide array of ID and passport documents. The solution ensures precise data sorting and extraction, catering to diverse document formats and languages, thereby facilitating efficient processing of identification and passport-related information.
ID Parsing API provided by AWS can extract a variety of information, such as text, key-value pairs, and tables, from various ID and passport documents. It also has the ability to analyze the layout and structure of an ID document and extract key fields automatically. Additionally, Amazon Textract uses Machine Learning to enhance its precision and accuracy over time.
Base64.ai offers a fast and accurate API that can extract key fields and biometric data for ID documents (passport, driver's licenses, visas, etc.) from over 200 countries. Their solution has the ability to scan MRZ (machine-readable zone), face image, signature image, and barcode data.
The company's OCR technology is based on deep learning, which allows it to accurately read text in various fonts and languages.
Google Cloud Vision supports a wide range of document types and can accurately recognize text in various languages and fonts. They also provide advanced OCR capabilities, including detecting and correcting common errors, such as misread characters or incorrectly recognized text.
IDScan.net is specialized in Identity Parsing API, which can accurately recognize and extract data from a wide range of ID and passport documents around the world. The API is equipped with advanced features such as image processing and data verification, which ensure that extracted data is accurate. Their full ID authentication solution puts IDs through more than 400 AI-powered security checks, detecting up to 95% of fake IDs.
Klippa offers an ID Parsing API that can automatically scan, parse, and classify many document types (passports, ID cards, driving licenses). Additionally, the technology includes features such as document type recognition, data validation, and fraud detection to guarantee the accuracy and security of extracted data.
Microsoft Azure offers an ID/Passport Parsing API that can extract text and data from passports, visas, driver's licenses and other travel documents. It can automatically detect the document type and orientation, which can be useful for processing documents at scale. In addition, the API can detect text in various languages.
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Mindee’s technology has the ability to recognize documents from over 150 countries and supports multiple languages, including Arabic, Chinese, Cyrillic, and Latin. Additionally, it can extract information from both MRZ (Machine-Readable Zone) and non-MRZ documents, which is a key differentiator as many other OCR solutions only support MRZ documents.
Mindee's ID Parsing API also features pre-built and customizable document templates for various document types, making integration easier and faster.
Surepass offers an API that can extract text and data from a diverse array of ID documents (Passports, Voter IDs, PAN, Vehicle RC, Aadhaar, etc.). With fraud detection included, the technology can perform real-time checks while detecting forged or altered documents through characteristics such as patterns and colors. Moreover, Surepass guarantees highly precise results delivered within a short span of time.
For all companies who use ID/Passport OCR in their software: cost and performance are real concerns. The ID OCR market is quite dense and all those providers have their benefits and weaknesses.
Performances of ID Parsing vary according to the specificity of data used by each AI engine for their model training. This means that some NLP Identity Parsing may perform great for some languages but won’t necessarily for others.
When testing multiple ID/Passport OCR APIs, you will find that providers' accuracy can be different according to text quality. For example, some Identity Parsing APIs may perform better with handwriting text while others may perform better with digital text.
ID Parsing APIs perform differently depending on the language of the text. Some providers are specialized in specific languages. Different specificities exist in Region specialties: some Identity OCR APIs improve their machine learning algorithm to make them accurate for text in a specific language. For example, some ID Parsing APIs perform well in translating English (US, UK, Canada, South Africa, Singapore, Hong Kong, Ghana, Ireland, Australia, India, etc.), while others are specialized in Asian languages. Rare language specialty: some ID/Passport Parsing vendors care about rare languages and dialects. You can find ID OCR APIs that allow you to process text in Gujarati, Marathi, Burmese, Pashto, Zulu, Swahili, etc.
Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate ID/Passport OCR tasks in their cloud-based applications, without having to build their own solutions.
Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Summarization, Question Answering, Data Anonymization, Speech Recognition, and so forth.
We want our users to have access to multiple ID/Passport OCR engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs :
Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.
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You can see Eden AI documentation here.
The Eden AI team can help you with your ID/Passport Parser integration project. This can be done by :
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