The Best 1165 Machine Translation Tools in 2025

M2M100 is a multilingual encoder-decoder model supporting 9,900 translation directions across 100 languages

A Transformer-based French-to-English neural machine translation model developed by the Helsinki-NLP team, trained on the OPUS multilingual dataset.

Arabic-to-English machine translation model trained on OPUS data, using transformer-align architecture

M2M100 is a multilingual machine translation model supporting 100 languages, capable of direct translation across 9900 translation directions.

A 1.1B-parameter machine translation model supporting mutual translation between 25 Indian languages and English, developed by the AI4Bharat project

A Transformer-based English-to-Multidialectal Chinese translation model supporting translation tasks from English to 13 Chinese variants

A Chinese-to-English machine translation model developed by the University of Helsinki, based on the OPUS corpus

A multilingual machine translation model fine-tuned based on mBART-large-50, supporting translation between 50 languages

opus-mt-de-en is a German-to-English machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a machine translation model from Spanish to English based on the Transformer architecture, developed by the Helsinki-NLP team.

A Russian-to-English machine translation model developed by the Language Technology Research Group at the University of Helsinki, based on the Transformer-align architecture.

opus-mt-en-fr is an English-to-French machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

OPUS-MT Dutch to English machine translation model, based on Transformer architecture with SentencePiece preprocessing.

An English-to-German translation model developed by the Language Technology Research Group at the University of Helsinki, built on the OPUS-MT framework, supporting high-quality machine translation tasks.

A Transformer-based neural machine translation model for English to Spanish, developed by the University of Helsinki NLP team

This is a Transformer-based multilingual-to-English machine translation model supporting over 100 languages.

An Italian-to-English machine translation model based on Transformer architecture, developed by the Helsinki-NLP team and trained using the OPUS dataset.

A neural machine translation model from English to Hindi based on the transformer-align architecture, developed by the Helsinki-NLP team

OPUS-MT English to Russian machine translation model, based on Transformer architecture, trained using OPUS datasets.

A Transformer-based neural machine translation model from Korean to English, supporting three Korean script variants: Hangul, Hanja, and Latin transliteration.

This is a neural machine translation model based on the Transformer architecture, specifically designed for English-to-Turkish translation tasks.

IndicTrans2 is a high-quality multilingual machine translation model supporting mutual translation between English and 22 Indian languages

Facebook WMT19 German-English Neural Machine Translation Model, achieving high-quality translation based on Transformer architecture

A Transformer-based Polish-to-English machine translation model developed by the Helsinki-NLP team, trained using the OPUS dataset.

This is an English-German translation model based on the fairseq wmt19 transformer, released by Facebook AI Research, which performed excellently in the WMT19 news translation task.

English to Dutch machine translation model trained on OPUS data, using transformer-align architecture

This is a large neural machine translation model based on the Transformer architecture, specifically designed for translating from Turkish to English.

A Transformer-based machine translation model from English to Arabic, supporting multiple Arabic dialect variants.

opus-mt-en-da is a machine translation model based on the transformer-align architecture, specifically designed for translating English to Danish.

mBART-50 is a multilingual sequence-to-sequence model based on multilingual denoising pre-training, supporting translation tasks in 50 languages

This is a neural machine translation model for English to Portuguese (including Brazilian Portuguese), part of the OPUS-MT project.

A machine translation model supporting multiple Romance languages to English, based on Transformer architecture and trained using the OPUS dataset.

OPUS-MT Danish to English machine translation model, based on Transformer architecture, developed by the Helsinki-NLP team.

This is a small machine translation model based on the mT5 architecture, specifically designed for Persian to English translation tasks.

FuguMT is an English-to-Japanese translation model based on Marian-NMT.

Japanese-to-English translation model based on Marian-NMT architecture

A Hindi-to-English neural machine translation model based on Transformer architecture, trained by the Helsinki-NLP team using the OPUS multilingual parallel corpus

Japanese to English neural machine translation model trained on OPUS data, using Transformer architecture and SentencePiece tokenization

A multilingual machine translation model fine-tuned based on mBART-large-50, supporting translation from English to 49 languages

A neural machine translation model trained on OPUS data for Turkish to English, using transformer-align architecture with SentencePiece preprocessing.

A Transformer-based machine translation model from Vietnamese to English, developed by Helsinki-NLP, supporting standardized Vietnamese (including Han character variants) to English translation tasks.

This is a Finnish-to-English machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.