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    <title>whisper</title>
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    <updated>2026-09-14T04:38:43+00:00</updated>
    <id>https://links.biapy.com/guest/tags/1159/feed</id>
            <entry>
            <id>https://links.biapy.com/links/13139</id>
            <title type="text"><![CDATA[OpenSuperWhisper]]></title>
            <link rel="alternate" href="https://github.com/starmel/OpenSuperWhisper" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13139"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenSuperWhisper is a macOS application that provides real-time audio transcription using the Whisper model. It offers a seamless way to record and transcribe audio with customizable settings and keyboard shortcuts.

Related contents:

- [L8 Principal&amp;#039;s Agentic Engineering Workflow @ Kun Chen&amp;#039;s YouTube](https://www.youtube.com/watch?v=iQyg-KypKAA).]]>
            </summary>
            <updated>2026-06-29T05:48:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12453</id>
            <title type="text"><![CDATA[Ghost Pepper]]></title>
            <link rel="alternate" href="https://github.com/matthartman/ghost-pepper" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12453"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hold-to-talk speech-to-text for macOS. 100% local, powered by WhisperKit and local LLM cleanup. Hold Control to record, release to transcribe and paste.]]>
            </summary>
            <updated>2026-04-07T11:49:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1398</id>
            <title type="text"><![CDATA[superwhisper]]></title>
            <link rel="alternate" href="https://superwhisper.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1398"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Al powered voice to text.

Write 3x faster, without lifting a finger. 

Related contents:

- [Vibe Coding and the Future of Software Engineering @ Alex P](https://alexp.pl/2025/02/19/vibe-coding.html).]]>
            </summary>
            <updated>2026-04-07T10:16:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2547</id>
            <title type="text"><![CDATA[whisper.php]]></title>
            <link rel="alternate" href="https://github.com/CodeWithKyrian/whisper.php" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2547"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Local Speech to Text in PHP made easy thanks to Whisper.cpp and OpenAI]]>
            </summary>
            <updated>2025-08-28T23:01:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3289</id>
            <title type="text"><![CDATA[Scriberr]]></title>
            <link rel="alternate" href="https://scriberr.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3289"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Self-hosted AI audio transcription.

This is Scriberr, a self-hostable AI audio transcription app. Scriberr uses the open-source Whisper models from OpenAI, to transcribe audio files locally on your hardware. It uses the Whisper.cpp high-performance inference engine for OpenAI&amp;#039;s Whisper. Scriberr also allows you to summarize transcripts using OpenAI&amp;#039;s ChatGPT API, with your own custom prompts. Summarization using ollama is also supported.

- [Scriberr @ GitHub](https://github.com/rishikanthc/Scriberr).

Related contents:

- [Scriberr - La transcription IA qui reste chez vous @ Korben :fr:](https://korben.info/scriberr-transcription-audio-ia-self-hosted.html).]]>
            </summary>
            <updated>2025-12-29T08:40:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4337</id>
            <title type="text"><![CDATA[Whisper.c++]]></title>
            <link rel="alternate" href="https://github.com/ggerganov/whisper.cpp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4337"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Port of OpenAI&amp;#039;s Whisper model in C/C++]]>
            </summary>
            <updated>2025-08-29T03:59:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4690</id>
            <title type="text"><![CDATA[Distil-Whisper]]></title>
            <link rel="alternate" href="https://github.com/huggingface/distil-whisper" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4690"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

- [Distil-Whisper @ Hugging Face](https://huggingface.co/collections/distil-whisper/distil-whisper-models-65411987e6727569748d2eb6).
- [Distil-Whisper – Pour faire de la reconnaissance vocale rapide @ Korben :fr:](https://korben.info/distil-whisper-revolution-reconnaissance-vocale-automatique.html).]]>
            </summary>
            <updated>2025-08-29T04:58:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4889</id>
            <title type="text"><![CDATA[Subtitlr]]></title>
            <link rel="alternate" href="https://github.com/yoanbernabeu/Subtitlr" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4889"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-assisted subtitle generation CLI for Youtube.

This application, a subtitle generator for YouTube, utilizes OpenAI&amp;#039;s Whisper API.
This tool leverages artificial intelligence to efficiently transcribe speech in YouTube videos into text, thereby generating accurate subtitles (in SRT format).

- [Subtitlr – L’outil IA pour sous-titrer vos vidéos YouTube @ Korben (fr)](https://korben.info/ajouter-sous-titres-youtube-facilement-openai-subtitlr.html).]]>
            </summary>
            <updated>2025-08-29T05:32:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5425</id>
            <title type="text"><![CDATA[Buzz Captions]]></title>
            <link rel="alternate" href="https://buzzcaptions.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5425"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Offline audio transcription and translation.

Transcribe and translate audio offline on your personal computer. Powered by OpenAI&amp;#039;s Whisper.

[Buzz Captions @ GitHub](https://github.com/chidiwilliams/buzz).]]>
            </summary>
            <updated>2025-08-29T07:00:53+00:00</updated>
        </entry>
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