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a2ia TextReader

by Mitek (A2iA) · Since 1991
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ActiveAvailable globallyCloud
Quick facts
VendorMitek (A2iA)
Year launched1991
StatusActive
LocationEMEA / Asia Pacific:, 39, rue de la Bienfaisance, Paris, FR 75008, FR
Countries servedGlobal
Languages7
Integrations1+
Free tierN/A
Free trialN/A
Contact salesYES

About a2ia TextReader

A2iA TextReader is a document processing software from Mitek (A2iA) designed for text recognition and data extraction. It provides features including optical character recognition (OCR), data capture, and document classification so businesses can improve accuracy in processing documents. This software supports various document types and formats, helping organizations to efficiently manage and utilize data. Key capabilities: optical character recognition (OCR) data capture document classification multi-format support intelligent data extraction Best for: businesses that need to automate document processing tasks and improve data accuracy.

A2ia TextReader by Mitek, originally developed by A2iA (acquired by Mitek Systems), is a robust optical character recognition (OCR) and intelligent document processing (IDP) solution designed for high-accuracy text extraction from printed and handwritten documents. Its primary purpose is to convert unstructured data found in documents such as forms, invoices, checks, medical records, and ID cards into structured, searchable, and actionable data. Leveraging advanced machine learning and neural networks, A2ia TextReader stands out for its multilingual capabilities and its strong performance in extracting text from complex layouts and low-quality images. It supports over 200 languages and handles both Latin and non-Latin scripts. A2ia TextReader is not primarily a standalone user-facing application; instead, it functions as an embeddable engine or SDK integrated into broader enterprise or industry-specific solutions. As such, the user interface largely depends on how the technology is implemented by the integrator or solution provider. That said, Mitek provides configuration tools and APIs that developers and system integrators can use to fine-tune OCR processes. These tools are relatively intuitive, featuring modular design and comprehensive documentation.

Pros & Cons

Pros
  • excels at recognizing both printed and cursive handwritten text, even without a pre-defined dictionary, leading to higher data accuracy.
  • Utilizes cutting-edge RNN-based technology for superior recognition capabilities.
  • Supports numerous languages, making it suitable for international use cases.
  • Provides both literal transcriptions and specific data extractions, catering to diverse automation needs.
  • Offers "plug-and-play" integration, simplifying adoption for businesses and developers.
Cons
  • the extent of fine-tuning for highly specialized or poor-quality documents isn't explicitly detailed in the provided text.
  • The text doesn't specify if it's primarily an on-premise solution or if cloud-based deployment options are readily available, which could be a factor for some businesses.
  • the focus on certain industries might lead some to believe its applicability is limited, even if the underlying technology is broad.

Features

Key features

Printed and Cursive Handwritten Text Recognition without a Dictionary

This is a unique selling point, allowing the software to transcribe both printed and cursive text accurately without needing pre-defined dictionaries.

RNN-based Technology

TextReader leverages a new and unique Recurrent Neural Network (RNN) based technology, developed by Mitek's in-house R&D team.

Literal Transcription and Data Extraction

The software provides both a literal, character-by-character transcription of the text and the ability to extract specific data fields.

Extensive Language Support

TextReader supports a wide array of languages including English, French, Arabic, German, Portuguese, Spanish, Chinese (Simplified & Traditional), and Russian, with additional languages in development.

Plug-and-Play Integration

TextReader offers various interfaces and a "plug-and-play" integration for developers, simplifying its adoption and allowing for seamless incorporation into existing systems and workflows.

Additional features

Information Automation

Automates the process of extracting and utilizing information from documents.

Printed Text Recognition

Accurately recognizes and transcribes printed text.

Cursive Handwritten Text Recognition

Accurately recognizes and transcribes cursive handwriting.

Dictionary-Free Recognition

Can perform recognition without the need for pre-defined dictionaries, especially for cursive text.

User-Defined Dictionary Support

Allows users to enhance results further by using custom or trade dictionaries and language modeling for specific workflows and data-sets.

RNN-based Technology

Utilizes advanced Recurrent Neural Network technology for recognition.

Literal Transcription

Generates a verbatim text output of the recognized content.

Data Extraction

Identifies and pulls specific data points from the transcribed text.

Multiple Interfaces

Offers different interfaces for integration.

"Plug-and-Play" Integration

Designed for simple and straightforward integration by developers.

Language Support

Supports English, French, Arabic, German, Portuguese, Spanish, Chinese (Simplified & Traditional), and Russian.

Extended Character Support

Capable of recognizing a wide range of characters, including alphanumeric.

Image Format Support

Compatible with various image formats like JPEG, BMP, TIFF, and PDF.

Image Recognition and Processing Expertise

Backed by Mitek's deep expertise in image analytics through the acquisition of A2iA.

Award-Winning Software

A2iA's technology has received awards, indicating its high performance and innovation.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
7
Interface languages
3
Billing currencies

Interface languages

EnglishFrenchSpanishGermanItalianPortugueseDutch

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP

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