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    WhatsApp Voice Note Transcribe

    1

    Transcribe and translate voice notes 100% on your own machine with faster-whisper. Built for Arabic, including Egyptian dialect.

    Free

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    WhatsApp Voice Note Transcribe

    WhatsApp Voice Note Transcribe

    Example session with this skill installed

    Transcribe this WhatsApp voice note 'feedback.ogg'. It's in Arabic. Check if the customer mentions any issues with the new subscription flow or app names.

    • Read your context and instructions
    • Compiled the whatsapp voice note

    I transcribed feedback.ogg (21 seconds) on this machine with faster-whisper large-v3 on your GPU: 4 s to load, 3 s to transcribe. No audio or text left your computer.

    Short answer

    Subscription issue: yes. The customer says the subscription won't renew from their iPhone, and reopening the app didn't help.
    App names: none clearly said. One word at 00:15–00:17 is missing from the transcript and may be an app name. Please listen to that part.
    Not said: whether an error message appeared, or when the problem started.

    Transcript and translation

    TimeArabic (as transcribed)English
    00:00–00:04السلام عليكم، كنت بحاول ادخل على البروفايل بتاعيHi, I was trying to get into my profile
    00:04–00:11بس الصبسكريبشن مش راضي يتجدد خالص من الايفونBut the subscription [?] won't renew at all from the iPhone
    00:11–00:17جربت افتح الابلكيشن كذا مرة ومفيش فايدة، حتى نزلتI tried opening the app several times, no use. I even downloaded [?] (a word is missing here)
    00:17–00:21بس برضو نفس المشكلةbut it's still the same problem.

    Key quote: «الصبسكريبشن مش راضي يتجدد خالص من الايفون», "the subscription won't renew at all from the iPhone".

    Reliability

    TimeTranscribedLikely meaning
    00:04الصبسكريبشن"subscription", an English word written phonetically
    00:15–00:17حتى نزلت …A word is missing after "I even downloaded", possibly an app name. Worth listening to.

    Files

    • feedback/transcript_ar.txt: the raw transcript, unchanged
    • feedback/transcript_en.txt: the translation, with [?] marks
    • feedback/confidence_log.txt: per-segment confidence

    Next steps

    1. Listen to 00:15–00:17 to catch the missing word.
    2. If it's a bug report, ask the customer for their iOS version and any error message. They didn't mention either.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Stop sending sensitive audio to cloud APIs. This skill transcribes WhatsApp voice notes and other audio entirely on your own machine with faster-whisper (Whisper large-v3). The audio and transcripts never leave your computer.

    It's built for Arabic voice notes, including Egyptian and other dialects with English words mixed in, and works with any language Whisper supports.

    What it does

    • Local transcription: turns .ogg/.opus, .m4a, .mp3, .wav and anything else ffmpeg can read into a timestamped transcript, with no cloud calls.
    • Honest translation: Claude writes an English translation and marks every uncertain word with [?] instead of guessing.
    • Answers your questions: give it questions (for example, survey questions) and it quotes the key sentences in the original language with a translation, and says plainly when something wasn't answered.
    • Reliability report: lists the least reliable segments and what they probably say. Whisper often drops brand names and English words in dialect speech, so you know what to listen to again.
    • GPU or CPU: uses an NVIDIA GPU if you have one (about 17 s for a 2.5-minute note) and falls back to the CPU (about real time).

    Privacy

    • Offline by default. The model downloads once, and only after you approve it.
    • The original audio is never modified. Outputs go in a new folder next to it.

    Requirements

    • Python 3.10+ and ffmpeg
    • About 3 GB of disk for the Whisper large-v3 model (a one-time download)
    • An agent that can run shell commands on your machine. Tested with Claude Code.

    Source and updates

    Open source (MIT): https://github.com/hesham-abboud/whatsapp-voice-note-transcribe

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    • Free to download with an account

    Requires

    Hugging Face
    GitHub
    Python 3.10+
    ffmpeg
    Git
    NVIDIA GPU with CUDA 12 (optional, for faster transcription)
    ~3 GB free disk space (Whisper large-v3 model)
    Python
    macOS

    Listed2 days ago

    What's inside

    Frequently Asked Questions