Project Anuvaad
  • Sunbird Anuvaad Overview
    • Features
  • USE
    • Playbook
    • Video Tutorials
  • LEARN
    • Architecture
    • Technology Stack
    • Repository structure and developers guide
    • Setting up Anuvaad on your own
    • Git branching strategies
    • Anuvaad Module Config Guidelines
  • MODULES
    • Modulewise Appendix
    • Anuvaad Workflow Manager
    • User management
    • Document converter
    • Auditor
    • OCR Content handler
    • Block merger
    • Content Handler
    • Document Digitization
    • File uploader
    • Aligner
    • ETL Translator
    • File translator
    • Anuvaad Zuul Gateway System
    • Anuvaad Translator
    • Tokenizer
    • Analytics
    • NMT
  • Legacy
    • Model Retraining
    • NMT Inference
    • Integration
      • Registration
      • Login and auth token
      • Supported Language pairs and translation models
      • Translate texts
    • Service Contracts
    • API Host Endpoints
  • ENGAGE
    • FAQ
    • KT Videos
    • Source Code Repository
    • Discuss
    • Tools
      • anuvaad-corpus-tools
      • layout-mt-corpus
      • ocr-toolkit
      • anuvaad-ocr-corpus
      • parallel-corpus
      • anuvaad-em
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  • Document Digitization
  • Layout Detection
  • Document Translation
  • Document Structure Preservation
  • Improve Translation from Speech
  • Translation Memory
  • Glossary Support
  • Usage Analytics and Metrics
  • File Format Conversion
  • Transliteration Support
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  1. Sunbird Anuvaad Overview

Features

Anuvaad is loaded with lots of features to provide the optimal experience for the end user to smoothen the process of document translation. The notable features are highlighted below:

Document Digitization

Document digitization is the process of converting physical documents into digital formats, making them easily accessible and editable.

Layout Detection

Anuvaad is coupled with custom trained Layout detection models for Identifying and comprehending a document's structure, which involves the recognition of key elements, including headings, paragraphs, tables, and images. This process is essential not only for enhancing OCR accuracy but also for preserving the document's layout and structure in the translated version.

Document Translation

Document translation involves converting text from one language to another, facilitating cross-lingual communication and information access. Anuvaad supports using NMT models straight from Bhashini Dhruva or in-built plug and play type of models for domain specific use cases.

Document Structure Preservation

This feature ensures that the original formatting, layout, and structure of documents are maintained during the translation process, preserving the document's visual integrity.

Improve Translation from Speech

Speech to text technology converts spoken language into written text, enabling audio content to be transcribed for translation or other purposes.

Translation Memory

Translation memory stores and retrieves previously translated segments to ensure consistency across documents and reduce translation time.

Glossary Support

Glossary support provides access to defined terminology and specialised vocabulary, ensuring consistency and precision in translations, particularly in specialised fields.

Usage Analytics and Metrics

Usage analytics and metrics offer insights into how the platform is utilised, helping users track and optimise translation processes and workflows.

File Format Conversion

File format conversion simplifies the process of converting documents from one file format to another while preserving their content and structure, enhancing compatibility.

Transliteration Support

Transliteration support enables the conversion of text from one script or alphabet to another, aiding users in dealing with different writing systems and ensuring the correct pronunciation of words, especially in multilingual contexts.

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Last updated 11 months ago