Built for messy audio
Not every interview happens in a quiet room. AskSia uses context-aware speech recognition that holds up against background noise, soft voices, accents, and the kind of audio quality you actually capture in the field.
AskSia is an AI audio transcriber that turns voice memos, podcast files, recorded interviews, and uploaded audio into accurate, timestamped text. Drop in MP3, WAV, M4A, OGG, AAC, or FLAC, or paste a podcast URL. The transcript appears in real time with speaker labels and an optional translation in 40+ languages. Free to start, no credit card required.
An AI audio transcriber is software that uses artificial intelligence to convert recorded audio into accurate, written text. AskSia is an audio transcriber built for people who need a usable transcript, not just a raw text dump. It accepts MP3, WAV, M4A, OGG, AAC, FLAC, AIFF, and most other common audio formats, along with podcast URLs and YouTube links. The output is a timestamped transcript with up to 10 speakers automatically labeled, ready to translate into any of more than 40 languages or export as TXT, DOCX, or SRT subtitles. The free plan covers audio files up to 30 minutes, with no software to install.
Audio is messy. Overlapping voices, accents, background noise, and recordings made on whatever device was nearby. AskSia was built to handle real-world audio, not studio-quality recordings.
Not every interview happens in a quiet room. AskSia uses context-aware speech recognition that holds up against background noise, soft voices, accents, and the kind of audio quality you actually capture in the field.
Most audio transcribers struggle with multiple voices. AskSia automatically identifies up to 10 distinct speakers per recording, color-codes their turns, and lets you rename them after the fact for cleaner exports.
MP3, WAV, M4A, OGG, AAC, FLAC, AIFF, WMA, plus podcast URLs and YouTube audio. Whether the file came from your phone, a Zoom recording, or a podcast feed, AskSia handles it without conversion.
Timestamps you can click. Speakers you can rename. Full-text search across hours of audio. A side-panel AI assistant that can summarize, quote, or quiz you on the content. AskSia hands you a working document, not a wall of text.
Drag any MP3, WAV, M4A, OGG, AAC, or FLAC file into AskSia, or paste a podcast or YouTube URL. The free plan covers up to 30 minutes per file, and Pro and Super remove the cap entirely.
AskSia auto-detects the source language. Choose any target language for translation, and the transcriber identifies up to 10 different speakers automatically while it processes the audio.
Read the transcript with timestamps and speaker labels. Search by keyword, ask Sia to summarize a section, or click a timestamp to jump to that moment. Export as TXT, DOCX, SRT, or send to Google Docs.
Drop a file from your laptop, record straight from your phone. Same library, both ways.
On the web, AskSia opens as a split panel. The transcript builds on the left, the AI chat sits on the right, and you can read along while the audio processes. Great for multi-hour podcasts, recorded interviews, and full lectures captured as audio.
Open the AskSia app, hit record, and the transcript builds on your screen as you speak. Useful for voice memos, fieldwork, dictation, and capturing any conversation you need a record of. Everything syncs back to your Web App library.
Drop in any podcast episode or recorded interview and AskSia returns a full transcript with speaker labels. Use it to repurpose audio into blog posts, search for quotes, or build show notes.
Recorded a quick voice memo, a phone interview, or a piece of dictation? AskSia transcribes it on your phone, with timestamps, ready to send to your library or export as a note.
Some lecture halls only record audio, and that is fine. Drop in the M4A or MP3 file and AskSia gives you a clean, searchable transcript ready to study, quote, or translate.
Audio-only Zoom or Google Meet recordings work the same way as video. Upload the file and AskSia returns a transcript with up to 10 speakers labeled and ready to share.
Researchers, journalists, and qualitative analysts use AskSia to transcribe long-form audio interviews. Speaker labels and timestamps make coding, citation, and reference work straightforward.
Listening to a French podcast or a Mandarin radio segment? AskSia transcribes the original audio and translates it alongside, sentence by sentence, in any of more than 40 languages.
Most transcription tools are built for meetings. AskSia is built for how students actually learn: bilingual, fast-moving, context-heavy.
| Feature | AskSia Transcribe | Standard Transcription Tools |
|---|---|---|
| Real-time latency | ✓ <0.1s | ~2–5s delay |
| Simultaneous multi-language translation | ✓ 40+ languages, live | Post-processing only |
| Built-in AI chat during recording | ✓ Ask anything while live | Not available |
| Auto speaker identification | ✓ Up to 10 speakers | 2–5 speakers, often inaccurate |
| Bilingual / code-switching support | ✓ Mid-sentence detection | Single language only |
| Academic vocabulary accuracy | ✓ Context-aware | Generic dictionary |
| Auto-generate quizzes and flashcards | ✓ One-tap from any transcript | Export only |
| Browser Tab capture | ✓ No extension needed | Extension or integration required |
| Free to start | ✓ 30 min/file, unlimited sessions | Time-limited trial |
Drop in any MP3, WAV, or podcast link, and AskSia produces a transcript you can search, translate, summarize, and quote from. Free to start, no credit card.