Document processing refers to the automated extraction of data and information from different types of documents, including invoices, receipts, contracts, and more. This process involves the use of advanced technologies, such as optical character recognition (OCR), computer vision, and natural language processing, to identify and extract relevant data points from unstructured document formats. By converting unstructured document data into a structured format, document processing enables businesses to unlock the value of their information assets, improve operational efficiency, and make more informed decisions.
The benefits of document processing are far-reaching, as it can significantly enhance productivity, accuracy, and data accessibility across a wide range of industries and applications. disFrom automating accounts payable and receivable processes to streamlining HR onboarding and regulatory compliance, document processing APIs offer a powerful solution for organizations looking to optimize their document-driven workflows and gain a competitive edge in their respective markets.
While comparing Document Processing APIs, it is crucial to consider different aspects, among others, cost security and privacy. Document Processing experts at Eden AI tested, compared, and used many Document Processing APIs of the market. Here are some actors that perform well (in alphabetical order):
1. Affinda
2. AWS
3. Base64.ai
4. Dataleon
5. Extracta.ai
6. Google Cloud
7. HireAbility
8. Klippa
9. Microsoft Azure
10. Mindee
11. Private AI
12. Ready Redact
13. SenseLoaf
14. Tabscanner
15. Veryfi
Affinda's document processing API offers highly accurate extraction of data from a wide range of document types, including invoices, receipts, resumes, and more. It uses advanced machine learning models to identify and extract key information, such as names, addresses, dates, and tables. Affinda's API is known for its flexibility and ease of integration.
Amazon Textract is a machine learning-based service that can automatically extract text, handwriting, and data from scanned documents and images. It goes beyond traditional optical character recognition (OCR) by using advanced computer vision to understand the structure and context of the information. Textract is highly scalable and can be integrated into a variety of applications.
Base64.ai is an AI-powered document processing solution that can quickly and accurately extract data from a variety of document types, including ID cards, licenses, and more. It uses machine learning models to determine the document type and extract the relevant information, with an accuracy rate of up to 99%. Base64.ai's API is designed to be easy to integrate and offers fast response times.
Dataleon's document processing API specializes in extracting data from complex, multi-page documents, such as contracts and agreements. It uses a combination of machine learning and rule-based algorithms to identify and extract key information, including tables, signatures, and metadata. Dataleon's API is highly customizable and can be tailored to specific document types and use cases.
Extracta.ai is a document processing API that focuses on extracting data from invoices, receipts, and other financial documents. It uses advanced computer vision and natural language processing techniques to identify and extract relevant information, such as line items, totals, and supplier details. Extracta.ai's API is designed to be fast, accurate, and easy to integrate.
Google Cloud's Document AI is a suite of document processing services that can automatically extract data from a variety of document types, including invoices, contracts, and forms. It uses machine learning models to understand the structure and content of documents, and can be customized to specific use cases and document types. Google Cloud Document AI is known for its scalability and integration with other Google Cloud services.
HireAbility's document processing API specializes in extracting data from resumes and CVs. It uses advanced natural language processing and machine learning algorithms to identify and extract key information, such as work experience, education, and skills. HireAbility's API is designed to be fast, accurate, and easy to integrate into applicant tracking systems and other HR-related applications.
Klippa's document processing API offers a wide range of capabilities, including invoice processing, receipt processing, and ID document extraction. It uses a combination of machine learning and rule-based algorithms to identify and extract relevant information, and can be customized to specific document types and use cases. Klippa's API is known for its flexibility and scalability.
Microsoft Azure's Form Recognizer is a document processing service that can automatically extract data from forms, invoices, and other structured documents. It uses machine learning models to understand the layout and content of documents, and can be customized to specific document types and use cases. Azure Form Recognizer is designed to be highly accurate and scalable, and can be integrated into a variety of applications.
Mindee's document processing API is known for its ability to extract data from a wide range of document types, including invoices, receipts, and ID documents. It uses advanced machine learning models to identify and extract relevant information, and can be customized to specific use cases and document types. Mindee's API is designed to be fast, accurate, and easy to integrate.
Private AI's document processing API offers a unique approach to data extraction, with a focus on privacy and security. It uses advanced cryptographic techniques to protect sensitive information, while still providing accurate and reliable data extraction. Private AI's API is designed for use cases that require high levels of data privacy, such as in the healthcare and financial sectors.
Ready Redact's document processing API specializes in redacting sensitive information from documents, such as personal identifiers, financial data, and confidential information. It uses advanced computer vision and natural language processing techniques to identify and redact the relevant information, while preserving the overall structure and content of the document. Ready Redact's API is designed for use cases that require high levels of data privacy and security.
SenseLoaf's document processing API offers a range of capabilities, including invoice processing, receipt processing, and ID document extraction. It uses a combination of machine learning and rule-based algorithms to identify and extract relevant information, and can be customized to specific document types and use cases. SenseLoaf's API is known for its flexibility and ease of integration.
Tabscanner's document processing API is designed to extract data from tables and other structured content within documents. It uses advanced computer vision and natural language processing techniques to identify and extract the relevant information, and can be customized to specific document types and use cases. Tabscanner's API is known for its accuracy and speed.
Veryfi's document processing API offers a range of capabilities, including invoice processing, receipt processing, and expense reporting. It uses machine learning models to identify and extract relevant information, and can be customized to specific document types and use cases. Veryfi's API is designed to be fast, accurate, and easy to integrate.
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 Document Processing tasks in their cloud-based applications, without having to build their own solutions.
We want our users to have access to multiple Document Processing 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 Document Processing APIs :
Set up a Document Processing API that is requested if and only if the main Document Processing API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
After the testing phase, you will be able to build a mapping of Document Processing vendors’ performance that depends on the criteria that you chose (languages, fields, etc.). Each data that you need to process will then be sent to the best Document Processing API.
You can choose the cheapest Document Processing provider that performs well for your data.
This approach is required if you look for high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Document Processing APIs will validate and invalidate each other for each piece of data.
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
The Eden AI team can help you with your Document Processing integration project. This can be done by :
You can directly start building now. If you have any questions, feel free to schedule a call with us!
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