FunASR is an offline voice file transcription software package that integrates speech endpoint detection, speech recognition, and punctuation models. It can convert long audio and video files into punctuated text while supporting concurrent transcription of multiple requests. The system supports ITN and user-defined keywords, and the server integrates ffmpeg, accommodating various audio and video format inputs. It offers clients in multiple programming languages, making it ideal for enterprises and developers needing efficient and accurate voice transcription services.

Youtube-Whisper is a Gradio-based application that extracts audio from YouTube videos and transcribes it into text using OpenAI's Whisper model. This tool is highly beneficial for users needing to convert video content into text for analysis, archiving, or translation. It leverages cutting-edge artificial intelligence technology to enhance the accessibility and usability of video content.

Fish Speech V1.4 is a leading text-to-speech (TTS) model trained on 700,000 hours of audio data in multiple languages. This model supports eight languages, including English, Chinese, German, Japanese, French, Spanish, Korean, and Arabic, making it a powerful tool for multilingual text-to-speech conversion.

WeST is an open-source speech recognition transcription model that achieves speech-to-text conversion in a concise format of 300 lines of code, based on a large language model (LLM). It includes a large language model, a speech encoder, and a projector, with only the projector being trainable. The development of WeST is inspired by SLAM-ASR and LLaMA 3.1, aiming to deliver efficient speech recognition capabilities through simplified code.

aTrain is an offline speech transcription tool developed by researchers at the Center for Business Analytics & Data Science, Graz University, and tested by researchers at the Graz Knowledge Center. It utilizes the latest machine learning models to automatically transcribe audio recordings without uploading any data. aTrain is featured in a paper published in the *Journal of Behavioral and Experimental Finance*. Please cite this paper if used for research. It supports Windows 10 and 11 systems, with users able to download and install it through the Microsoft App Store or the BANDAS Center website. Installation guides for Linux systems are available on the Wiki. aTrain's primary advantages include privacy protection by avoiding data uploads, high-quality transcription accuracy, and fast processing speeds on your local computer.

FunASR is an offline voice file transcription software package that integrates speech endpoint detection, speech recognition, and punctuation models. It can convert long audio and video files into punctuated text while supporting concurrent transcription of multiple requests. The system supports ITN and user-defined keywords, and the server integrates ffmpeg, accommodating various audio and video format inputs. It offers clients in multiple programming languages, making it ideal for enterprises and developers needing efficient and accurate voice transcription services.

The Gardener Teleprompter is a desktop teleprompter application specifically designed for live streaming, speeches, teaching, and similar scenarios. Using advanced voice recognition technology, it automatically senses the user's speaking speed and intelligently adjusts the text scrolling speed to ensure alignment between prompting and expression. The product integrates cutting-edge AI technology, providing features such as copy optimization, multi-channel copy extraction, watermark-free video downloads, prohibited word detection, and voiceover for text, significantly improving text creation efficiency. The Gardener Teleprompter supports multiple window playback, catering to diverse display needs, with all windows available to be pinned on top to avoid obstruction, achieving truly invisible prompting. Background information indicates that the Gardener Teleprompter has stood the test of thousands of live streams, proving to be stable and durable, with a continuously innovating team dedicated to delivering excellent service.

Kaption AI is a Chrome browser extension that leverages artificial intelligence to transcribe audio messages on WhatsApp into text, offering message summaries and reply suggestions. This extension prioritizes user privacy and security by employing advanced AI technologies for accurate transcription and summarization. It is particularly suited for users who often use WhatsApp and find it challenging to listen to long audio messages, helping them save time and focus only on important information.

Rev AI offers high-precision voice transcription services supporting over 58 languages, capable of converting speech from video and audio applications into text. It sets accuracy standards by training on the most diverse collection of voices in the world. Rev AI also provides real-time streaming transcription, human transcription, language recognition, sentiment analysis, theme extraction, summarization, and translation services. Rev AI's technological advantages include low word error rates, minimal bias towards gender and ethnic accents, support for more languages, and provision of highly readable transcription texts. In addition, it complies with top global security standards, including SOC II, HIPAA, GDPR, and PCI compliance.

Youtube-Whisper is a Gradio-based application that extracts audio from YouTube videos and transcribes it into text using OpenAI's Whisper model. This tool is highly beneficial for users needing to convert video content into text for analysis, archiving, or translation. It leverages cutting-edge artificial intelligence technology to enhance the accessibility and usability of video content.

Fish Speech V1.4 is a leading text-to-speech (TTS) model trained on 700,000 hours of audio data in multiple languages. This model supports eight languages, including English, Chinese, German, Japanese, French, Spanish, Korean, and Arabic, making it a powerful tool for multilingual text-to-speech conversion.

WeST is an open-source speech recognition transcription model that achieves speech-to-text conversion in a concise format of 300 lines of code, based on a large language model (LLM). It includes a large language model, a speech encoder, and a projector, with only the projector being trainable. The development of WeST is inspired by SLAM-ASR and LLaMA 3.1, aiming to deliver efficient speech recognition capabilities through simplified code.

aTrain is an offline speech transcription tool developed by researchers at the Center for Business Analytics & Data Science, Graz University, and tested by researchers at the Graz Knowledge Center. It utilizes the latest machine learning models to automatically transcribe audio recordings without uploading any data. aTrain is featured in a paper published in the *Journal of Behavioral and Experimental Finance*. Please cite this paper if used for research. It supports Windows 10 and 11 systems, with users able to download and install it through the Microsoft App Store or the BANDAS Center website. Installation guides for Linux systems are available on the Wiki. aTrain's primary advantages include privacy protection by avoiding data uploads, high-quality transcription accuracy, and fast processing speeds on your local computer.

AIbase Video Text Extraction Tool utilizes artificial intelligence and machine learning technologies to provide users with fast and accurate video text transcription services. It optimizes text formatting, making the transcribed content easy to understand and faithful to the original video. As a basic service, this tool is completely free, requiring no installation, download, or paid subscription, greatly simplifying the video content processing work of creative professionals.