I Used Claude to Build a Transcription Bot That Learns from Its Mistakes (www.macstories.net)

A podcast creator has developed an advanced transcription bot using Claude and Apple’s speech-to-text APIs to significantly enhance the accuracy and efficiency of transcribing video content. Initially relying on OpenAI's Whisper for transcription, the creator found its accuracy lacking. After experimenting with various apps, they harnessed Claude's skills to automate the correction process. By integrating a hybrid approach that combines scripting with machine learning capabilities, the bot not only replaces common mispellings but also learns from contextual feedback provided by the user, improving each iteration. This advancement is notable for the AI/ML community as it exemplifies the merging of deterministic algorithms with generative models to surpass traditional limitations in transcription accuracy. The upgrade to the parakeet-mlx model, an Apple silicon-optimized version, showcased better phonetic error correction compared to Apple's APIs, leading to a more reliable transcription process. The streamlined method reduced the correction time to mere minutes while consistently improving the quality of outputs, highlighting the potential for intelligent collaboration between scripted processes and generative AI to enhance productivity in real-world applications.