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Tech riderRev. 4 Oct 2026

IndicTrans2

Ch 456.5of 154 Translation Software
  1. 1Runs onLinux, self-hosted
  2. 2CostsFree plan
2 lines stated Written from the maker's own pages: github.com
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The IndicTrans2 homepage

Overview

IndicTrans2 is ranked #45 of 154 in translation software on Specifiction. It runs on Linux, Self-hosted. There is a free plan.

IndicTrans2 plans and pricing

All plans
IndicTrans2 Free Open-source translation models and artifacts; no hosted plan or usage limits stated github.com · 4 Oct 2026

Facts

Purpose
IndicTrans2 is an open-source multilingual neural machine translation model for the 22 scheduled Indic languages.github.com · 4 Oct 2026
Language coverage
The models support English and Indic languages, including multiple scripts for Kashmiri, Manipuri, and Sindhi.github.com · 4 Oct 2026
Translation directions
Released model families cover English-to-Indic, Indic-to-English, and Indic-to-Indic translation.github.com · 4 Oct 2026
Model variants
The repository provides base and distilled model checkpoints, including Fairseq and Hugging Face artifacts.github.com · 4 Oct 2026
Inference
Users can run batch or paragraph translation through Python interfaces using Fairseq or CTranslate2 models.github.com · 4 Oct 2026
Training
The repository includes scripts and instructions to train or fine-tune multilingual translation models.github.com · 4 Oct 2026
Datasets
The project releases the BPCC parallel corpus, BPCC back-translation data, and IN22 evaluation benchmarks.github.com · 4 Oct 2026
Evaluation
The project reports chrF++, BLEU, and COMET metrics and includes evaluation scripts and benchmarks.github.com · 4 Oct 2026
Long context
RoPE-based model variants are described as supporting sequence lengths up to 2048 tokens.github.com · 4 Oct 2026
Installation requirements
The README recommends Python 3.7 or later and notes that some data preparation scripts require SentencePiece and GNU parallel.github.com · 4 Oct 2026
Deployment
The README documents local command-line and Python inference workflows; it does not describe a hosted API or commercial integrations.github.com · 4 Oct 2026
License
The repository code is under the MIT License, while released datasets have artifact-specific licenses including CC0 and CC-BY-4.0.github.com · 4 Oct 2026
Security and compliance
The opened project pages do not state security certifications or compliance assurances.github.com · 4 Oct 2026
Intended users
The repository describes its open data, models, and scripts as supporting use and adoption within the research community.github.com · 4 Oct 2026

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