Audio to Text Transcription

This tool converts audio files into written transcripts using automated speech recognition (ASR). It targets researchers, journalists, educators, students, and professionals who generate interviews, lectures, podcasts, or meeting notes and need a fast, auditable transcript.
Conceptually, the workflow ingests an audio file, selects the language model, runs segmentation and recognition, and outputs plain text. It supports options for timestamps, speaker labels, and multiple export formats to fit indexing, citation, and accessibility workflows.
The value proposition includes time savings, consistency, and the ability to scale to larger transcription tasks without manual typing. It enables searchable archives, captions for videos, and improved accessibility across teams and learning environments.
Core features include file upload, language selection, optional diarization, optional timestamps, punctuation restoration, and exports in TXT, SRT, or JSON. Use cases include interview transcripts, lecture notes, podcast transcripts, and compliance records.