English (US)

Audio to Text Notta transcribes audio recordings into accurate, searchable transcripts for meetings, interviews, lectures, podcasts, and media analysis. Primary users include journalists, researchers, educators, accessibility teams, content creators, and compliance officers who need reliable text records for review, captioning, and repurposing. It supports post-recording processing as well as streaming transcription to capture live content with latency suitable for review.
Conceptually, the system performs speech recognition against an acoustic and language model, aligns segments to timestamps, and optionally labels speakers. It supports multiple languages, controllable verbosity, and a vocabulary you tailor for names or terms. Privacy considerations let users opt for local or cloud processing, depending on data sensitivity.
Core features include language detection, punctuation restoration, timestamps, speaker diarization, and export formats such as TXT, SRT, and VTT. Advanced options enable noise suppression, custom vocabularies, and streaming transcription for real-time capture. Confidence scores per segment help identify uncertain transcriptions, enabling targeted review.
Common use cases encompass meeting notes, interview transcripts, lecture captions, and podcast transcripts. The tool enables quick retrieval via search, supports downstream editing in preferred editors, and reduces manual transcription effort while improving accessibility and content repurposing.