Audio2Text

Audio2Text is an AI transcriber tool. A browser based transcription tool built on OpenAI Whisper. Accepts seven common audio formats, covers 58 languages, and exports TXT, PDF or SRT. Credits work out to one minute of audio each, with a free tier, a 10 credit signup bonus and paid packages that unlock better quality and faster processing.

Audio2Text is a browser based transcription service that turns recorded speech into written text. The site states plainly that the engine behind it is OpenAI's Whisper model, the same speech recognition work that came out of the team behind ChatGPT. Files are uploaded from the web app, processed, and returned as readable transcripts. Supported formats include mp3, mp4, mpeg, mpga, m4a, wav and webm, so most recordings produced by phones, meeting software or video editors will go through without conversion first. Language coverage is the standout feature. The service lists 58 languages, spanning European languages such as German, French, Polish, Czech and Welsh, plus Arabic, Hindi, Japanese, Korean, Chinese, Turkish, Vietnamese and many others. Transcripts can be downloaded as TXT, PDF or SRT, and the SRT option is the practical hook for video work: subtitles can be generated for a clip without opening a separate captioning tool. Output is plain text, so it drops into a document, a spreadsheet or a video editor without cleanup steps built into the product. Pricing is credit based. Every credit equals one minute of audio. A free tier handles files up to 20 MB but applies lower transcription quality and a queue before processing starts. Paid packages (60, 600 and 6000 credits) lift the file size ceiling to 250 MB, remove the wait and switch on the best quality setting. New accounts come with 10 free credits, which is enough to test a short recording at full quality before committing to a pack. The larger packs carry modest discounts. Audio2Text sits in the same space as dedicated transcription suites, but it is deliberately narrower: no speaker diarization, no live recording, no editing timeline. For someone who needs a clean text file or subtitle track from an existing recording and prefers paying per minute to a monthly subscription, that narrowness is the point. Teams that need collaborative transcript editing or meeting integrations will find the feature set thin, and anyone handling confidential audio should weigh an upload against a locally run Whisper install.