RSS, Spotify, or MP3
Paste a podcast RSS feed link, a public Spotify episode share, an Apple Podcasts share link, or upload the MP3, M4A, or WAV file directly. AskSia handles every common path the same way.
Paste a podcast link or upload an MP3 and AskSia returns 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. Academic podcasts, news, interview series, and educational creators in 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 Podcast Summarizer takes any podcast episode (from a public URL or an uploaded audio file) and returns a structured summary with timestamps on every claim and speaker labels for up to 10 voices. Useful for academic podcasts, news podcasts, interview series like NPR or BBC, and educational creators. Hover a [N] citation to see the moment with the transcript highlighted; click to jump into the episode. 40+ languages with translation.
Generic podcast summarizers paraphrase without timestamps. AskSia times-stamps every line and labels every speaker, so you can quote, study, and verify in one click.
Paste a podcast RSS feed link, a public Spotify episode share, an Apple Podcasts share link, or upload the MP3, M4A, or WAV file directly. AskSia handles every common path the same way.
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 episode at that exact second.
AskSia identifies up to 10 distinct speakers in an episode, color-codes their turns in the transcript, and shows which speaker each cited claim came from. Useful for interview podcasts and panels.
Drop a full season of a podcast into one session and ask 'compare what each episode says about X' or 'find every mention of topic Y across the season'. Synthesized answer with per-episode timestamps.
Listen to a Spanish podcast, a Japanese tutorial, or a French interview and read the summary in English with the original transcript alongside. Citations link to the source moment in the original audio.
One click turns the episode 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 timestamp.
Paste an RSS feed, a Spotify share link, or upload an MP3.
Drop a public podcast URL (RSS, Spotify share, Apple Podcasts) into AskSia, or drag the MP3, M4A, or WAV file into the upload area.
AskSia transcribes the episode (under 1 minute per hour of audio), identifies up to 10 distinct speakers, and builds a timestamped citation index over the episode.
Read the structured summary with [N] timestamps and speaker labels. Click a citation to jump into the episode at that second. Ask Sia for flashcards. Export as TXT, DOCX, SRT, or Google Docs.
Start with cellular respiration1 and the Calvin cycle2. Your handwritten review adds a comparison table4.
Drop a Stanford, Harvard, or MIT podcast episode and AskSia returns a structured summary with speaker labels and timestamps, useful for research and class discussion notes.
Paste a public NPR, BBC, or FT podcast episode and AskSia summarizes with speaker-labeled timestamps, useful for current-events courses and political-science assignments.
Drop interview podcasts (research interviews, author interviews, expert panels) and AskSia surfaces speaker-by-speaker takes with citations, useful for qualitative research and class projects.
Upload episodes from educational podcast creators (philosophy, history, science) and AskSia returns concept-by-concept summaries with timestamps and flashcards.
Listen to a Spanish, Mandarin, French, German, Japanese, or any of 40+ supported languages podcast, and read the English summary with the original transcript alongside.
Drop a full podcast season into one session and ask 'which episodes cover topic X?' or 'compare arguments across the season'. Synthesized answer with per-episode timestamps.
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 an academic podcast, an NPR or BBC episode, an interview series, or an educational creator, AskSia summarizes any podcast with every claim cited to the second.