Every common audio format
MP3, WAV, M4A, OGG, FLAC, AAC, WMA, AIFF, AMR, all supported with no conversion needed. Drag the audio in and AskSia handles the rest.
Drop an audio file into AskSia and read a structured summary in minutes. Every claim carries a timestamp and a speaker label, so you can read fast, jump to any moment, and quote the right voice. Recorded lectures, interviews, podcasts, voice memos, and field recordings. 40+ languages, free to start.
Focus on cellular respiration and the Calvin cycle first — they dominate your textbook1 and lecture slides2. Prof. Chen's notes flag three common exam traps3.
AskSia AI Audio Summarizer takes any audio file (MP3, WAV, M4A, OGG, FLAC, AAC, WMA, AIFF, AMR) and returns a structured summary with timestamps on every claim and speaker labels for up to 10 distinct voices. Useful for recorded lectures, qualitative research interviews, podcasts, voice memos from class, and field recordings. Hover a [N] citation to see the moment with the transcript highlighted; click to jump into the audio. 40+ languages with translation.
Generic audio tools transcribe but stop there. AskSia transcribes, summarizes, attributes speakers, and times-stamps every claim, so you can study fast.
MP3, WAV, M4A, OGG, FLAC, AAC, WMA, AIFF, AMR, all supported with no conversion needed. Drag the audio in and AskSia handles the rest.
Sub-100ms latency for live audio, under 1 minute per hour for uploaded files. 95%+ accuracy on clear audio with handling of technical vocabulary, names, and academic terms.
AskSia identifies up to 10 distinct speakers in an audio file, color-codes their turns, and shows which speaker each cited claim came from. Useful for interview audio and panel discussions.
Every line of the summary carries a [N] marker with a timestamp. Hover to see the transcript at that moment. Click to jump into the audio at that exact second.
Drop a series of audio recordings (interview research, lecture series, podcast season) into one session and ask cross-audio questions with synthesized answers and per-recording timestamps.
One click turns the audio summary into definition flashcards, a concept-check quiz, a study guide, or a visual concept map. Each card and question links back to the original audio timestamp.
Drag and drop. Every common audio format works.
Drag the audio file (MP3, WAV, M4A, OGG, FLAC, AAC, WMA, AIFF, AMR) into AskSia. Recorded lectures, interviews, podcasts, voice memos all work.
AskSia transcribes the audio (under 1 minute per hour at 95%+ accuracy on clear audio), identifies up to 10 distinct speakers, and builds a timestamped citation index.
Read the structured summary with [N] timestamp citations and speaker labels. Ask Sia for flashcards or a quiz. Export as TXT, DOCX, SRT, or Google Docs.
Start with cellular respiration1 and the Calvin cycle2. Your handwritten review adds a comparison table4.
Drop an audio recording of a class lecture (from your phone, a recorder, or Zoom audio) and AskSia transcribes and summarizes with timestamps, useful for review and accessibility.
Record voice memos during or after class on your phone, drop them into AskSia, and read the structured summary with timestamps. Useful for capturing study ideas in the moment.
Upload qualitative research interview audio and AskSia identifies up to 10 speakers, transcribes and summarizes with timestamps, and lets you extract quotes by speaker or theme.
Drop downloaded podcast MP3s into AskSia and read structured episode summaries with speaker labels and timestamps, useful for academic and news podcast study.
Audio captured in the field (linguistics, ethnography, anthropology, music) can be transcribed and summarized with timestamps, useful for fieldwork and qualitative research projects.
Audio in Spanish, Mandarin, French, German, Japanese, Korean, Arabic, or any of 40+ supported languages can be summarized in English with timestamps and speaker labels preserved.
Most AI document tools are built for one file. AskSia is built for students studying a whole library at once.
| Feature | AskSia | NotebookLM | ChatPDF | ChatGPT File Upload |
|---|---|---|---|---|
| Max files per session | ✓ 100 | ~ 50 | 1 | ~ 10–20 |
| Native OCR for scanned PDFs | ✓ Auto, no setup | ~ limited | ✗ | ✗ |
| Handwritten notes recognition | ✓ 40+ languages | ✗ | ✗ | ✗ |
| Mixed-format session (PDF+PPT+DOCX+MD) | ✓ All at once | ~ partial | PDF only | ✓ |
| Hover-to-source page highlighting | ✓ Visual preview | ~ citations only | ~ page ref | ✗ |
| 500-page textbook in one pass | ✓ No chunking | ~ size limits | ~ size limits | ✗ truncation |
| Cross-document Q&A | ✓ Unified answer | ✓ | ✗ single doc | ~ degrades |
| Auto flashcards & quizzes | ✓ One click | ✗ | ✗ | ✗ |
| Free to start, no credit card | ✓ 100 files free | ✓ | ~ 1 file free | ✗ Plus needed |
Whether a recorded lecture, a research interview, a podcast download, or a voice memo, AskSia transcribes and summarizes any audio with timestamps and speaker labels.