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Dev tools · February 18, 2016

Using IBM Watson's Speech-To-Text API to Make Automated Supercuts

A proof of concept using IBM's Speech-to-Text API to do quick-and-dirty transcriptions - dannguyen/watson-word-watcher

Using IBM Watson's Speech-To-Text API to Make Automated Supercuts launched on February 18, 2016 with 14 votes, #1,960 of 4,386 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 10 years on.

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In plain words

This is a proof-of-concept developer tool that uses IBM Watson's Speech-to-Text API to automatically transcribe audio and create supercuts based on specific words or phrases. Built as a quick-and-dirty transcription solution, it's designed for developers who want to experiment with automated video editing and speech recognition. The project demonstrates how to programmatically identify and extract relevant segments from longer audio or video files.

written from the facts on this page · September 2026

Does a similar job

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  • AssemblyAI - Speech-to-Text API2017 · assemblyai.com · ▲996

    APIs to automatically transcribe and understand audio

  • Speech to Note2024 · speechtonote.com · ▲544

    Turn your voice into written notes

  • superwhisper for iOS2024 · superwhisper.com · ▲326

    Extremely accurate, AI powered voice-to-text

  • superwhisper2023 · superwhisper.com · ▲274

    Extremely accurate, AI powered voice-to-text for macOS

  • Transkriptor 2.02025 · transkriptor.com · ▲263

    From speech to insights – transcribes, summarizes & analyzes

  • MacWhisper2023 · goodsnooze.gumroad.com · ▲123

    High quality text transcription with OpenAI's whisper on Mac

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