Transcription was only the first step

Some of our earliest Bonfÿre experiments were built around audio: Whisper, FFmpeg, segmentation, timing and getting small local tools to work together. Turning a recording into text worked well enough to reveal a more interesting problem.

What does someone actually want to do with the recording?

A podcaster may need clips and show notes. A researcher needs searchable interviews with source timecodes. A resident might want to find a statement in a council meeting. A company may need one summary for staff and another version it can publish.

A transcript is an interpretation of audio. It can miss jargon or speakers. The original recording and its time information are needed for corrections and accurate quotations.

The toolchain expanded from ingest and transcription into cleanup, paragraphing, indexing, narration, editing and publication. Different stages have different accuracy and review needs.

The Podcast Plant Studio^{[1]Podcast Plant Studio} explores the editing experience. Aurekai Live connects source libraries, channels, creator profiles and publications.

The IAB's 2026 CreatorFronts research^{[2]IAB's 2026 CreatorFronts research} describes a growing creator market and the need for practical supporting tools. That matched what we found in those early experiments: the algorithm transforms the file, but the useful product helps the person finish their work.