Arui.AI is a speech to text ai tool that converts any audio file or live microphone input into accurate written text. Upload an MP3, WAV, or M4A recording, and the ai speech to text engine transcribes it in seconds — no manual typing required.
Click to upload or drag and drop
MP3, WAV, M4A, WEBM, OGG, FLAC — up to 2 hours
Upload an audio file and let AI deliver an accurate transcript in seconds.
From a single upload to a polished transcript in under a minute.
The speech to text ai model processes audio with a deep neural network trained on 100,000+ hours of multilingual speech data. It handles accents, overlapping dialogue, and technical jargon while maintaining above 95 percent word accuracy on clear studio recordings.
Transcribe audio in over 50 languages including English, Spanish, Mandarin, Arabic, Hindi, Portuguese, and Japanese. The ai speech recognition software detects the spoken language automatically or lets you set it manually for mixed-language recordings.
The artificial intelligence speech recognition engine separates up to ten distinct speakers in interviews, panel discussions, and podcasts. Each speaker segment is labeled and timestamped so you can follow who said what without scrubbing through the audio.
Upload recordings up to 120 minutes in length. The audio to text ai engine processes the full file in a single pass — a 30-minute interview typically completes transcription in under 45 seconds, and a two-hour lecture finishes in approximately three minutes.
Download your transcript as plain text, SubRip subtitles, or WebVTT captions. The ai voice transcription tool formats timestamps automatically, so SRT and VTT files drop directly into video editors and streaming platforms without manual adjustment.
The speech to text ai model inserts commas, periods, question marks, and paragraph breaks on its own. Capitalization, number formatting, and sentence boundaries are handled by the transcription engine — reducing manual cleanup time by up to 80 percent.
See how the ai audio to text engine compares with hiring a human transcriber.
| Metric | Arui.AI Speech to Text | Manual Transcription |
|---|---|---|
| Turnaround time for 1-hour audio | Approximately 90 seconds | 4–6 hours of manual work |
| Word accuracy on clear audio | 95% or higher | 90–95% (fatigue degrades quality after 2 hours) |
| Cost per audio hour | Flat credit-based rate | $60–$180 per hour (professional rates) |
| Language coverage | 50+ languages from a single upload | One language per transcriber hired |
| Revisions and re-processing | Unlimited — re-run the same file instantly | Each revision adds 1–2 days turnaround |
Turnaround time for 1-hour audio
Word accuracy on clear audio
Cost per audio hour
Language coverage
Revisions and re-processing
Six workflows where ai voice transcription saves hours of manual work.
Reporters upload recorded interviews and receive a searchable transcript in under two minutes. The voice to text ai engine labels each speaker, so a 45-minute press conference becomes a ready-to-quote document without manual playback and pausing.
Podcast creators run each episode through the audio to text converter ai to generate full transcripts for show notes and SEO. A 60-minute episode transcript appears in roughly 90 seconds — ready to publish alongside the audio feed.
University students record lectures on their phones and upload the audio for instant transcription. The ai mp3 to text tool turns a 90-minute lecture into searchable notes — making exam prep and keyword lookup faster than re-listening to the full recording.
Qualitative researchers transcribe multi-speaker focus group recordings with automatic diarization. The automatic speech recognition ai separates up to ten participants, assigns labels, and exports a coded transcript — cutting transcription time from weeks to hours.
YouTubers and course creators drop in voiceover audio and export SRT caption files ready for upload. The sound to text ai tool syncs subtitle timing to the audio waveform, producing caption files accurate to within 100 milliseconds.
Teams upload meeting recordings and receive structured transcripts with action items highlighted. The voice to text converter ai processes a 45-minute team meeting in under 60 seconds — turning spoken decisions into shareable written records.
Upload your audio, let the AI transcribe, and export the text.
Select an MP3, WAV, M4A, or WEBM file from your device — or record directly from your microphone. The speech to text ai tool accepts files up to two hours long and analyzes the audio waveform to detect language, speakers, and speech segments.
Click transcribe and the ai speech to text engine processes the full audio in seconds. Watch the transcript build in real time with automatic punctuation, speaker labels, and paragraph breaks applied as the text appears on screen.
Read through the transcript, edit any words directly in the text panel, and choose your export format. Download as TXT for plain text, SRT for video subtitles, or VTT for web captions — all timestamped and formatted automatically.
Clear answers about accuracy, formats, and how the tool works.
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Upload an audio file and let AI deliver an accurate transcript in seconds.
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