TurboScribe v2.1 - AI Tool For Transcription

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TurboScribe: AI-Powered Transcription Tool for Fast, Affordable &  Multilingual Solutions — techforword

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TurboScribe offers accurate and fast transcription services for audio and video files, leveraging advanced AI technology. Ideal for a variety of applications, it supports over 98 languages.TurboScribe is powered by Whisper, the most accurate and powerful AI speech to text transcription technology currently. It supports long uploads. Each file can be up to 10 hours long / 5 GB, with the posssibility to upload 50 files at a time.

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GitHub - Trint-ai/TrintAI: A powerful Open-Source tool for transcribe and  understand speech.

Trint focuses on transcription and provides tools for content creation. Offers features like collaborative editing, keyword extraction, and integration with platforms like Adobe Premiere Pro. Designed for teams working with audio and video. Verify, edit, playback and search transcripts just like a text doc. Then pull quotes from multiple transcripts and use editorial tools to create articles, podcasts, scripts and soundbites. Work together in real time with highlight and comment tools to make teamwork simple. Share using granular access permissions and create Shared Drives to make sign-offs quick and easy.

Trint

Alrite speech transcription software - Pricing plans

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Based on state-of-the-art deep learning technology, Alrite offers a comprehensive solution for many business scenarios. As one of the world’s most advanced speech transcription and recognition system, it lets you transcribe audio and video files effortlessly in just a few seconds. Convert your speech to text in a secure, cloud-based environment. One of the unique features of Alrite is burned-in custom captions. This feature lets you customize font, size, color, background, and position. Captions remain visible on any platform, and you can even add unique effects like progress indicators or karaoke-style highlights.

Alrite

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Happy Scribe offers both AI-powered transcription and human transcription services, along with translation. It supports a wide range of languages and provides an online editor for reviewing and editing transcripts. It's designed for individuals and businesses who need accurate transcripts and translations. Providing interactive editors made for transcription, dubbing and subtitles

Happy Scribe

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Corti AI is a healthcare-specialized speech-to-text platform that provides real-time and asynchronous transcription with support for over 170,000 medical terms. The platform offers multiple endpoints for different workflows including dictation, ambient documentation, and post-call transcription, with features such as automatic speaker diarization, multi-channel audio processing, custom voice commands, and automatic punctuation. It integrates with healthcare IT systems and supports multiple languages, enabling physicians to document patient interactions naturally while maintaining clinical accuracy. The platform also includes text generation capabilities for creating medical documentation and clinical decision support features.

Medical speech-to-text API for healthcare

Corti AI

Vosk with Python: Future of Audio Processing with OpenSource Tools | by  PySquad | Medium

GitHub - alphacep/vosk: VOSK Speech Recognition Toolkit

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Vosk is an open-source, offline speech recognition toolkit. Supports many languages and works on various platforms, including embedded systems and mobile devices.  Good for privacy-sensitive applications. Works offline, even on lightweight devices - Raspberry Pi, Android, iOS. Installs with simple pip3 install vosk. Portable per-language models are only 50Mb each, but there are much bigger server models available. Provides streaming API for the best user experience (unlike popular speech-recognition python packages). There are bindings for different programming languages, too - java/csharp/javascript etc. Allows quick reconfiguration of vocabulary for best accuracy. Supports speaker identification beside simple speech recognition.

Vosk

Speech to Text - IBM Cloud

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IBM Watson Speech to Text converts audio to text, supporting customization and multiple languages.  It's part of the broader IBM Cloud platform and offers features like speaker diarization and keyword spotting. Use smart formatting to control how the engine transcribes numbers and dates for U.S. English and Spanish. You can request results that are not final using the interim_results parameter for use cases that require ultra low latency and partial transcripts. Use inactivity timeout to avoid transcribing silence if your end user walks away from a live mic. Use the timestamps parameter to know when a word stops and ends. This is key for users looking to combine multiple channels of audio or pinpoint when particular words occur in a transcript.

Sonix Review | PCMag

Sonix.ai | Transcribe, translate, subtitle audio and video.

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Automatically convert audio to text | Sonix

Sonix provides automated transcription, translation, and subtitling services. Offers an in-browser editor and collaboration tools, making it suitable for media production, research, and general transcription needs. Translate your transcripts in minutes with Sonix's advanced automated translation engine. Perform any type of analysis you need on your audio, video, and transcripts. Get AI-powered summaries, automatically create chapter titles, thematic analysis, topic detection, entity detection. Enhance your videos with Sonix's automated subtitles feature. Share video clips in seconds or publish full transcripts with subtitles using the Sonix media player.

Sonix AI

Measuring and Improving Speech-to-Text Accuracy | Google Cloud Platform |  by Nishit Kamdar | Google Cloud - Community | Medium

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Google Cloud Speech-to-Text is a powerful and widely used service that converts audio to text. Offers high accuracy, supports a large number of languages and dialects, and provides customization options for specific use cases. Speech-to-Text can utilize Chirp, Google Cloud’s foundation model for speech trained on millions of hours of audio data and billions of text sentences. This contrasts with traditional speech recognition techniques that focus on large amounts of language-specific supervised data. Speech-to-Text uses model adaptation to improve the accuracy of frequently used words, expand the vocabulary available for transcription, and improve transcription from noisy audio. Model adaptation lets users customize Speech-to-Text to recognize specific words or phrases more frequently than other options that might otherwise be suggested. For example, you could bias Speech-to-Text towards transcribing "weather" over "whether."

Google Cloud Speech-to-Text

Welcome to Gladia - Gladia

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Gladia provides an API for speech-to-text, translation, and audio analysis. Offers features like speaker diarization, word-level timestamps, and code-switching detection. Gladia leverages an optimized version of sophisticated Automatic Speech Recognition (ASR) models to deliver high-quality transcriptions. Gladia’s speech-to-text engine converts calls and meetings into text in real time or asynchronously, making it easy to integrate conversational features, advanced note-taking and search into your platform. Their real-time transcription API is optimized to provide next-best-action recommendations to customer support and sales agents while on-call. Compatible with SIP and WebSockets.

Gladia

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Rev AI provides both AI-powered and human transcription services. Offers high accuracy options, and caters to both quick, automated needs and situations requiring perfect transcripts. Rev AI consistently outperforms other speech-to-text providers in accuracy for virtually every use case. Rev AI's Word Error Rate (WER) is significantly lower than the competition on ethnic background, nationality, gender, and accent. It offers both asynchronous and real-time transcripts as well as analytical insights.

Rev AI

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