#language support

Discover an OCR tool capable of recognizing text in over 80 languages such as Latin, Chinese, and Arabic. EasyOCR integrates effortlessly with applications via Huggingface Spaces using Gradio, offering a web demo without any initial setup. Regular updates enhance compatibility and promise future features like handwritten text recognition. Easy to install through pip, it includes detailed tutorials and API documentation to guide usage. The tool facilitates simultaneous multi-language support, backed by comprehensive instructions and command-line options.

Experience comprehensive text-to-speech capabilities with the Python library by ElevenLabs. This API is intended for developers and content creators, offering vibrant, realistic voices across numerous languages and accents efficiently. Featuring advanced models such as Eleven Multilingual v2 and Eleven Turbo v2.5, the library ensures consistent performance with a focus on diversity and speed. Installation and integration are straightforward, allowing users to generate audio, clone voices, and adjust settings to meet various project needs. This makes it suitable for anyone in search of professional-quality audio tools.

Easydict is a streamlined macOS application designed to facilitate word and text translation. It provides ready-to-use functionality with options for input translation, quick word lookup, and OCR screenshot translation. This app is compatible with a broad range of translation services including Youdao, Apple Dictionary, Apple Translation, OpenAI, Gemini, DeepL, Google, Tencent, Bing, Baidu, Niutrans, Caiyun, Alibaba, and Volcengine, supporting 48 different languages. The app intuitively detects input language and allows for translations via mouse hover, offering a customizable approach for each window, making it ideal for users seeking a smooth translation tool.

Chatbot NER by Haptik is an open-source framework designed to identify entities in text for conversational AI. It supports languages including English, Hindi, Gujarati, Marathi, Bengali, and Tamil, and processes code-mixed forms using NLP methods for extracting entities even from limited data. The API is structured for ease of use in AI applications, with the potential for adaptation to more Indian languages and dialects. Contributors can enhance its capabilities by adding training data and detection patterns.

Franc offers a robust language detection solution supporting up to 419 languages. It includes a CLI for seamless integration and is compatible with Node.js, Deno, and modern browsers. Best suited for larger texts, franc's accuracy may be lower with smaller samples. Packages such as franc-min, franc, and franc-all provide tailored language support options. Leveraging ISO 639-3 codes, franc efficiently identifies text languages, offering flexibility across platforms.

Gruut offers comprehensive multilingual text processing with features such as tokenization, text cleaning, and phonemization using the International Phonetic Alphabet (IPA). It is compatible with SSML for easy integration into speech synthesis systems. Gruut's flexible installation accommodates various languages through add-ons and manual file downloads, enhancing phonetic precision in voice applications across Linux-based Python environments.

Initially a WebExtension, Firefox Translations offered client-side translations as part of The Bergamot Project Consortium. Its features are now integrated directly into Firefox from version 108 onward. Funded by the EU's Horizon 2020 program, it supports multiple languages such as Spanish, German, and French. Users can test updates via Firefox Nightly. Essential components include Bergamot Translator for machine translation, Fasttext for language detection, and Sentry for error monitoring. Comprehensive instructions are available for both desktop and Android deployments.

april-asr is a developmental speech-to-text API providing offline, streaming capabilities using an English model. It includes experimental C, C#, and Python bindings for wave file and streaming recognition. While still evolving, it leverages the csukuangfj icefall model and requires ONNXRuntime for Linux and Windows builds. It is utilized in projects such as Live Captions.