Audio to JSON Converter

The tool converts audio into a structured JSON transcript with optional time-aligned tokens and speaker labels. It supports multiple languages, handles noisy audio, and exports a consistent schema suitable for ingestion by analytics, search, and BI pipelines.
The core process includes audio ingestion, ASR decoding, time-alignment, optional diarization, and optional punctuation restoration, all emitting a stable JSON schema with segments and word-level data.
Users can tailor the output to include per-word timestamps, speaker labels, and confidence scores, enabling precise downstream processing, indexing, and auditing. This is beneficial for developers embedding transcription in apps, data scientists building corpora, and compliance teams validating media archives. The tool emphasizes deterministic structure, predictable field names, and a schema that can be versioned and evolved without breaking downstream jobs.
Common use cases include meeting and podcast transcription, customer call analysis, media asset tagging, and searchable archives. Unique value lies in configurable fields, robust language handling, and optional diarization that remains stable across runs, reducing post-processing overhead and integration time.