Tools tagged with "Multilingual"

ThunderAI is an AI email assistant for Thunderbird users who want help writing messages and managing their inbox. You can process email text with a local model or send it to a cloud provider.

TranscriptionSuite is a speech-to-text app for people recording lectures, transcribing conversations or dictating documents on their own hardware. Transcription works offline after the app and model downloads, keeping audio and transcripts local.

ONLYOFFICE Docs is a self-hosted office suite for teams that want browser-based document editing and AI assistance on their own servers. It handles Word, Excel and PowerPoint formats (.docx, .xlsx and .pptx), alongside PDFs and fillable forms. The free community edition is open source under AGPL-3.0 and runs through Docker or on Linux and Windows servers.

Whisper Mate is a local-first transcription app for people who need text from recordings, calls or audio playing on their Mac. It brings transcription and subtitle work into one editor, with media processing that can stay on the Mac.

Wyoming Faster Whisper converts speech to text on your own hardware for Home Assistant and other Wyoming-compatible clients. It's for home voice systems that need local transcription and better recognition of household names.

LocalText2Voice is an MIT-licensed desktop app for people producing audiobooks, lessons and podcasts from long texts. Its local speech engines work offline after model downloads, keeping your text and generated audio on your computer. It runs on Windows and Linux; macOS isn't officially supported.

biniou brings AI chat and media creation into one browser interface on your own computer or server. It's for people who want to work with several kinds of generative AI without switching between separate apps.

LLPlayer is a media player for language learners who study through video and audio. It pairs playback with tools for reading dialogue, checking unfamiliar words and revisiting scenes.

Speech Note lets you dictate, read aloud and translate multilingual notes on Linux and Sailfish OS. It's for people who want speech and text processing to stay on their device and work offline.

FinGPT is a financial LLM framework for researchers and developers building tools that interpret market news and company information. It includes trained models, financial datasets, and tools for adapting models to specific finance tasks.

Voicetypr is a desktop dictation app for people who write emails, code, prompts, or notes throughout the day. It inserts speech as text wherever your cursor sits, including in Slack, Gmail, Cursor, and Notion. Local transcription works offline, with your recordings and transcripts staying on your machine. The source code uses the AGPL-3.0 license; the desktop product is paid.

Gemma is Google DeepMind's family of open-weight AI models for developers building applications on their own hardware. It includes compact models for mobile and IoT devices and larger models for reasoning on personal computers and servers.

Moonshine is an on-device AI toolkit for developers building voice agents and spoken interfaces. Voice processing runs on the device without an account or API keys.

BGE Embeddings is a family of models for developers who need to find relevant passages for search or retrieval-augmented generation (RAG). It includes embedding models for finding candidate text and rerankers for assessing how closely those results match a query.

Argos Translate translates text on your own machine for people who need offline translation and developers adding translation to their software. Once you have the language models, it can translate without an internet connection or sending text to an online service.

TaxHacker is a self-hosted AI accounting app for freelancers, indie hackers, and small businesses that need to turn receipts and invoices into searchable transactions. The project is in early development. Its open source edition runs on your own infrastructure or home server through Docker and uses the MIT license.

Starcat is a native macOS app for developers who want to find and evaluate repositories they've saved on GitHub. It keeps a local library and lets you choose which repositories enter a private AI knowledge base.

dots.ocr is a self-hosted OCR model for developers and teams that need text and page structure from multilingual documents. It combines text recognition and layout parsing in a single vision-language model you can run on your own hardware.

EasyOCR is a Python library for developers adding text recognition to an application. It reads both text in photographs and dense document text.

Bergamot Translator is a local AI translation library for developers building translation into browser or native applications. People who want to translate web content can use it through the separate TranslateLocally extension for Firefox.

Notion Knowledge Assistant is a self-hosted Telegram bot for people who keep research, reference notes or study material in Notion. You run the Python app on your own hardware or server, including through Docker, but answers depend on OpenAI's paid cloud API. It also needs connections to Notion and Telegram, so self-hosting doesn't make it an offline assistant.

QAnything is a local knowledge base for people and teams who want to ask questions about their own documents. It supports offline operation and questions across Chinese and English document collections.

Silero Models is a collection of pretrained text-to-speech models for developers adding voice output to applications or services. It suits projects that need speech generation on their own hardware, including support for Turkic and Caucasian languages.

YouDub-webui is a self-hosted video translation and dubbing app for creators and small teams making videos available in another language. Its most established workflow is English-to-Chinese dubbing for YouTube; it also supports Chinese-to-English dubbing for Bilibili.

Whispering Tiger creates live transcripts and translations from audio on your computer for VRChat conversations and streaming captions. It can also read text in game images, so spoken dialogue and visible text can feed into the same translation workflow.

Bolna builds voice AI agents for businesses handling support, sales and recruitment calls. It focuses on Indian languages and accents, including Hindi, Hinglish, Tamil and Telugu, alongside English.

Vexa is a meeting bot and transcription API for developers adding meeting features to products and teams connecting calls to AI agents. Its bots join Google Meet, Microsoft Teams and Zoom to capture the conversation.

Parakeety is a paid Mac dictation app for people who want to speak into the app they're already using without sending their voice to a cloud service. It runs on Apple Silicon Macs with macOS 14 or later and places the transcript at the cursor. Intel Macs aren't supported.

Amical is an AI dictation app for people who want to write emails, messages and coding prompts by speaking. It adjusts the resulting text to the app you're using, reducing the editing needed after transcription.

Kolors generates photorealistic images from text for creators and developers who want to run image generation on their own hardware. Developed by Kuaishou, it supports Chinese and English prompts, including descriptions of Chinese cultural content.

DeepSeek-Coder is a family of coding models for developers who want to run a model on their own hardware or build it into a coding assistant. It includes base models for completion and instruction-tuned models for coding requests written in plain language.

WhisperJAV generates subtitles for Japanese adult videos on your own computer. It targets difficult audio with quiet dialogue, loud vocalisations and long stretches that can cause speech recognition models to invent or repeat words.

Step-Audio 2 is an audio AI model family for developers building voice assistants and applications that interpret recordings. It can reason about what people say and how they say it, as well as sounds beyond speech.

Model2Vec is a Python package for developers who need text embeddings for search or classification on their own hardware. It turns sentence transformers into smaller static embedding models, trading a small drop in performance for lower model size and faster CPU inference.