Document Processing, also known as Document Parsing, is the automated process of extracting and structuring valuable information from various document formats, such as PDFs, Word documents, and more. By leveraging advanced technologies like Optical Character Recognition (OCR) and Named Entity Recognition (NER), document parsing solutions are able to perform a comprehensive analysis of the textual content within these documents.
Document Processing solutions find applications across a wide range of industries, as they help to automate manual document-centric processes and improve data entry efficiency. By eliminating the need for manual data entry and digitizing paper-based workflows, document parsing plays a crucial role in the broader digital transformation initiatives of organizations, helping them to eliminate tedious paperwork and unlock the hidden value within their documents.
Document Question & Answering involves using natural language processing and machine learning techniques to automatically answer questions about the content and context of a document. It can help users quickly find relevant information within large or complex documents.
Document Redaction is the process of identifying and removing or obscuring sensitive or confidential information from documents, such as personally identifiable information (PII) or protected health information (PHI). This is crucial for ensuring data privacy and compliance with regulations.
For more information on top free document redaction tools, check out our dedicated article on the best solutions for securing sensitive information.
Financial Document Parsing is the extraction of key financial data, such as account numbers, transaction details, and monetary amounts, from documents like bank statements, invoices, and tax forms. This enables the automated processing and analysis of financial information.
Resume Parsing involves the extraction of relevant information from resumes, such as contact details, work experience, skills, and education, to facilitate efficient candidate screening and recruitment processes.
Discover the best free resume parsing tools in our specialized article, providing insights into optimizing the extraction of key details from resumes for various applications.
Like Resume Parsing, Invoice & Receipt Parsing allows for the automated extraction of data from invoices and receipts, including vendor information, purchase details, line items, and totals. This streamlines accounting, auditing, and expense management workflows.
Explore our comprehensive article highlighting the top free invoice parsing tools to streamline your document processing workflow.
Table Extraction is the process of identifying and extracting tabular data from documents, such as spreadsheets or PDF tables, into a structured format for further analysis and integration.
ID/Passport Parsing is the extraction of personal identification information, such as name, date of birth, and document numbers, from identity documents like driver's licenses, passports, and ID cards. This supports identity verification, security, and compliance processes.
Learn about the top free ID parsing APIs and open-source models in our in-depth article, designed to simplify the extraction of information from identification documents.
For users seeking a cost-effective engine, opting for an open-source model is the recommended choice. Here is the list of best Document Processing Open Source Models:
Grobid is an open-source library that specializes in extracting and parsing bibliographic information from PDF documents, particularly scientific publications and academic papers. It utilizes a series of machine learning models to analyze the logical structure of documents, identify metadata, references, and other relevant details, and output the information in standardized formats like TEI or XML. Grobid's robust performance and continuous updates make it a powerful tool for academic and scientific document processing.
Camelot is an open-source Python library that focuses on extracting tabular data from PDF files. It leverages the Tabula library and provides a user-friendly API to automate the extraction of data from tables within PDF documents. Camelot is known for its high accuracy, with a reported parsing rate of 99.02%, as well as its flexibility in supporting various output formats, including CSV, JSON, and Excel. This makes Camelot a strong choice for tasks that involve extracting and processing tabular information from PDFs.
deepdoctection is a Python library that orchestrates document extraction and layout analysis tasks using deep learning models. While it does not implement its own models, deepdoctection enables users to build pipelines that leverage highly regarded libraries for object detection, optical character recognition (OCR), and selected natural language processing (NLP) tasks. The library provides an integrated framework for fine-tuning, evaluating, and running these models, allowing for customization and adaptation to specific document processing requirements.
While open-source document processing models offer numerous advantages, such as cost-effectiveness and flexibility, they may also present some potential drawbacks that users should be aware of:
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 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 credit for you to explore our APIs.
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Our standardized API enables you to integrate Document Processing APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):
Affinda's document processing API excels at accurately extracting data from a wide variety of document types, including invoices, receipts, resumes, and more. It leverages 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 seamless integration capabilities.
Amazon Textract is a machine learning-based service that can automatically extract text, handwriting, and data from scanned documents and images. Going beyond traditional optical character recognition (OCR), Textract uses advanced computer vision to understand the structure and context of the information. This highly scalable service can be easily integrated into a diverse range 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 and licenses. It uses machine learning models to determine the document type and extract the relevant information, achieving an accuracy rate of up to 99%. Base64.ai's API is designed for easy integration 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 combines machine learning and rule-based algorithms to identify and extract key information, including tables, signatures, and metadata. Dataleon's API is highly customizable, allowing it to be tailored to specific document types and use cases.
Extracta.ai is a document processing API focused on extracting data from invoices, receipts, and other financial documents. It leverages 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 easily integrated 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, with seamless integration capabilities.
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.
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 December 2023, as well as you can get discounts for potentially large volumes.
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The Eden AI team can help you with your Document Processing integration project. This can be done by :
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