Showing 7 open source projects for "offline transcribe"

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  • 1
    Handy STT

    Handy STT

    A free, open source, and extensible speech-to-text application

    Handy is a free, open-source, offline speech-to-text application built for privacy, accessibility, and extensibility. Developed using Tauri (Rust + React/TypeScript), it runs natively across Windows, macOS, and Linux while performing local speech recognition without sending any audio to cloud servers. Handy allows users to start transcription instantly using a configurable keyboard shortcut—press to record, release to transcribe—and automatically pastes the resulting text into any active text field. ...
    Downloads: 67 This Week
    Last Update:
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  • 2
    SpeechRecognition

    SpeechRecognition

    Speech recognition module for Python

    Library for performing speech recognition, with support for several engines and APIs, online and offline. Recognize speech input from the microphone, transcribe an audio file, save audio data to an audio file. Show extended recognition results, calibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details). Listening to a microphone in the background, various other useful recognizer features.
    Downloads: 9 This Week
    Last Update:
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  • 3
    stt

    stt

    Voice Recognition to Text Tool

    stt is a standalone speech recognition tool that locally converts spoken content in audio or video files into textual formats without requiring internet access, giving users control over their data and reducing reliance on external APIs. It leverages open-source speech models such as Faster-Whisper to recognize and transcribe human speech into plain text, structured JSON objects, or subtitle files with time codes, making it suitable for both personal and professional transcription tasks. The...
    Downloads: 4 This Week
    Last Update:
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  • 4
    Whishper

    Whishper

    Transcribe any audio to text, translate and edit subtitles 100% locall

    Open-source, local-first audio transcription and subtitling suite with a simple web UI. Thanks to open-source technologies, Whishper can run 100% offline. Your data never leaves your computer. Whishper allows you to translate your transcriptions to and from more than 60 languages thanks to Argos Translate and LibreTranslate. Download the transcriptions in many formats (json, txt, vtt, srt). Easily edit your subtitles right in the Web-UI.
    Downloads: 14 This Week
    Last Update:
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    GoAnywhere Managed File Transfer (MFT)

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    GoAnywhere MFT provides secure managed file transfer for enterprises. Deployable on-premise, in the cloud, or in hybrid environments, GoAnywhere MFT software enables organizations to exchange data among employees, customers, and trading partners, as well as between systems, securely. GoAnywhere MFT was a recipient of the Cybersecurity Excellence Award for Secure File Transfer.
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  • 5
    Buzz

    Buzz

    Transcribe and translate audio offline on your personal computer

    Buzz transcribes and translates audio to text offline using OpenAI's Whisper. Import audio and video files into Buzz and export them as TXT, SRT, or VTT files. Buzz supports Whisper, Whisper.cpp, Faster Whisper, Whisper-compatible models from the Hugging Face repository, and the OpenAI Whisper API. Get linux versions from: - https://flathub.org/apps/io.github.chidiwilliams.Buzz - https://snapcraft.io/buzz Home page of Buzz https://github.com/chidiwilliams/buzz Note for...
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    Downloads: 4,937 This Week
    Last Update:
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  • 6
    Whisper Batch Transcriber

    Whisper Batch Transcriber

    Unlimited, private and free Speech-To-Text program

    ## About: Automatically transcribe all of your voice recordings into clean, organized, neat text files. It's free, fully automated, unlimited, using state-of-the-art speech-to-text technology. Works 100% offline on your computer, privately and locally. ## Usecases: Convert speeches, podcasts, webinars, monologues, storytellings and other audio speech into a formatted .txt file.
    Downloads: 9 This Week
    Last Update:
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  • 7
    The Hear

    The Hear

    The Hear program is made for journalists.

    To transcribe audio, the app uses the built-in speech recognition features of macOS. Turn your audio and video files into text You can change the font size by pressing the command and +/- keys. The font size is saved during further use. A folder "Hear" with text files is created on the desktop. The program is universal - arm64/x86_64 You can ask questions here https://sourceforge.net/p/the-hear/discussion
    Downloads: 0 This Week
    Last Update:
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