AskSia transcribes any WAV audio file into accurate, timestamped text in seconds. Drag and drop a lecture recording, an interview master, a podcast WAV, or a field recording, and AskSia returns a clean transcript with speaker labels and an optional translation in 40+ languages. Full-resolution 16-bit and 24-bit WAV files at 44.1 kHz, 48 kHz, and 96 kHz upload directly without conversion. Free to start.
To transcribe a WAV file to text, you upload the file or paste a direct WAV link, and AskSia processes the audio with AI speech recognition. WAV is a lossless format, so the transcription often reaches the highest accuracy possible. The output is a timestamped transcript with up to 10 speakers labeled automatically, ready to translate into more than 40 languages or export as TXT, DOCX, or SRT subtitles. The free plan covers WAV files up to 30 minutes, useful for daily lecture recordings, interview takes, and study sessions.
WAV is the format used when audio quality matters: studio recordings, professional interviews, music masters, archived lectures. AskSia is built to take advantage of that fidelity instead of forcing you to compress it down first.
WAV preserves every audio detail, and AskSia transcribes it directly without re-encoding. Often produces higher accuracy than compressed MP3 or M4A versions of the same recording, especially for technical vocabulary, soft speech, and overlapping speakers.
Drop the WAV in as it is, no codec changes, no sample-rate downconversion, no audio editing. AskSia handles 44.1 kHz, 48 kHz, and 96 kHz at 16-bit and 24-bit out of the box.
AskSia identifies up to 10 distinct speakers in a single WAV file, color-codes their turns, and timestamps each one. Rename them after the fact, for example 'Lecturer', 'Interviewer', or 'Participant 3', and the change applies to the whole transcript.
Once a WAV is transcribed, the AI assistant Sia can pull out flashcards from a lecture, generate study notes, summarize an interview, or quiz you on the content. The transcript becomes study material on the spot.
Drag the WAV into AskSia or click upload to pick it from your computer or phone. AskSia handles full-resolution PCM WAV at 44.1 kHz, 48 kHz, and higher sample rates without conversion or compression.
AskSia auto-detects the source language. Pick any target language for translation, and the transcriber identifies up to 10 different speakers in the recording without manual setup.
Read the transcript with timestamps and speaker labels. Search across the WAV by keyword, ask Sia for a summary, flashcards, or quotes, and export as TXT, DOCX, SRT, or send to Google Docs.
Drag and drop on the laptop, upload from your phone, or paste a direct WAV link. One library holds everything.
On the web, AskSia opens as a split panel with the transcript on one side and the AI chat on the other. Drop in a 24-bit WAV from a podcast master, a lecture archive, or an interview session, and read along as it processes. Speaker labels are clickable, and you can search the whole recording by keyword.
Open the app and pick a WAV file from your phone library, share sheet, or files app. AskSia transcribes the audio in real time on your screen and syncs the result to your Web App library when finished.
WAV is the format many lecture-capture systems and digital recorders use by default. Drop in the file and turn an hour-long class into a searchable transcript, ready to study, cite, or translate for international classmates.
Researchers, hiring teams, and journalists often record interviews to WAV for archival quality. AskSia transcribes them with speaker labels and timestamps, ready to quote, code in NVivo or Atlas.ti, or analyze.
Podcasters and audio editors work in WAV at the master stage. AskSia transcribes the full session with speaker labels for show notes, content repurposing, and SRT subtitles for video versions.
Drop in a WAV bounce of your own demo, rehearsal, or performance, and AskSia transcribes the spoken or sung words. Useful for finalizing lyrics, building lyric sheets, and producing captions for performance videos.
Anthropologists, linguists, and field researchers often record in WAV for fidelity. AskSia transcribes field interviews, oral histories, and group discussions with speaker labels in more than 40 languages.
Old WAV archives from radio shows, lecture programs, or oral history projects become searchable text in seconds. Translate, summarize, or repurpose decades-old audio for new audiences.
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 |
Whether it is a lecture archive, a research interview, a podcast master, or a field recording, AskSia transcribes any WAV file into clean text in seconds. Free to start.
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