Up to 10 speakers labeled
AskSia identifies up to 10 distinct speakers in a transcript, color-codes their turns, and shows which speaker each cited claim came from. Useful for interviews, panels, and group discussions.
Speaker attribution
LMS Integration
Uni & Course Analysis
Useful Tools
Resources
AI Transcript Summarizer
Summarize any transcript, with speakers and timestamps.
Upload a lecture, meeting, or interview transcript and AskSia returns a structured summary in seconds. Every claim carries a speaker label and a timestamp, so you can read fast and quote the right voice at the right moment. Up to 10 speakers identified per transcript. 40+ languages, free to start.
SupportsPDFWordPowerPointMarkdownScanned PDF · OCREPUBTXTCSVGoogle Docs
4.8 / 5 · 2M+ documents summarized by students at 2000+ universities
asksia.ai/summarize
9 files indexed
Study materials
Upload
Library
Selected files
Biology_Chapter_12.pdf
500p
Lecture_Slides_W6.pptx
Prof_Chen_Notes.docx
Handwritten_Review.pdf
OCR
Study_Guide.md
Problem_Set_5.pdf
Research_NeurIPS.pdf
Midterm_Review.docx
Tutorial_Slides.pptx
Midterm study plan — from all 9 of your files
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.
Biology_Chapter_12.pdf
1
5
Lecture_Slides_W6.pptx
2
Prof_Chen_Notes.docx
3
Handwritten_Review.pdf
4
Study_Guide.md
6
≡ Summary
Study guide
Quiz
Flash Card
PDF
Biology_Chapter_12.pdf
p. 217
Quick Answer
What is AskSia AI Transcript Summarizer?
AskSia AI Transcript Summarizer takes any transcript (lecture, meeting, interview, focus group) and returns a structured summary with [N] citations carrying speaker labels and timestamps. Up to 10 distinct speakers are identified and color-coded. Useful for lecture review, qualitative research analysis, interview-based research projects, and discussion-section catch-up. Supports 40+ languages with translation.
100
files per session
500p
textbook in one pass
OCR
native, zero setup
100%
answers cited to page
Why AskSia
The transcript summarizer built for research and study.
Generic transcript tools paraphrase without speaker context. AskSia attributes every claim to the right speaker at the right timestamp.
Timestamped to the second
If the transcript has timestamps (SRT, JSON, AskSia transcripts), every line of the summary carries a timestamp citation. Click to jump into the source recording at that exact second.
Timestamp citations
Quote extraction
Ask Sia to pull every quote from a specific speaker, or every quote on a specific topic. Returns quotes with speaker labels and timestamps, useful for qualitative research and citation-ready writing.
Quote extraction
Cross-transcript synthesis
Drop a series of interview or focus-group transcripts into one session and ask 'where do speakers agree?', 'compare positions on topic X', or 'find every mention of Y across all transcripts'.
Cross-transcript Q and A
Multiple transcript formats
TXT, DOCX, MD, SRT subtitle files, JSON exports from transcription tools, and PDF transcripts all work. AskSia normalizes formats automatically and preserves speaker structure.
Format flexibility
From transcript to study pack
One click turns the transcript summary into definition flashcards, a concept-check quiz, a study guide, or a quote-coded research dataset. Useful for both course study and qualitative research.
Flashcards, quizzes, codes
How It Works
From transcript file to speaker-labeled summary in seconds.
TXT, DOCX, SRT, JSON, or PDF. Speaker structure preserved automatically.
Step 01
Upload the transcript
Drag the transcript file (TXT, DOCX, MD, SRT, JSON, PDF) into AskSia. Lecture, meeting, interview, and focus-group transcripts all work.
Drop documents here
PDF, Word, PPT, Markdown, scans, and photos
PDF
Biology_Chapter_12.pdf
500p
P
Lecture_Slides_W6.pptx
38
W
Prof_Chen_Notes.docx
12
MD
Study_Guide.md
4
9 files ready · 100 max
Step 02
AskSia indexes speakers and timestamps
AskSia identifies up to 10 distinct speakers, parses timestamps if present, and builds a speaker-and-timestamp citation index over the transcript.
Indexing in parallel
PDF
Textbook pages
DONE
P
Lecture slides
DONE
W
Professor notes
DONE
PDF
Handwritten review
OCR
MD
Markdown study guide
READING
100%
Sources indexed with page-level citation anchors.
Step 03
Read, ask, export
Read the structured summary with [N] speaker-and-timestamp citations. Ask Sia for quote lists, flashcards, or research codes. Export as TXT, DOCX, SRT, or Google Docs.
What should I study first for the midterm?
Start with cellular respiration1 and the Calvin cycle2. Your handwritten review adds a comparison table4.
Biology_Chapter_12.pdf
p.217
Referenced passage highlighted on the original page.
Use Cases
How students summarize transcripts with AskSia.
Lecture transcripts
Upload a Zoom, Otter, or AskSia lecture transcript and AskSia returns a structured summary with timestamps, useful for catching up on missed lectures and exam review.
Lecture review
Interview-based research
Drop a series of qualitative research interview transcripts and AskSia surfaces themes, codes quotes, and lets you compare positions across interviewees. Useful for sociology, education, and public-health research.
Qualitative research
Focus-group transcripts
Upload focus-group transcripts and AskSia identifies up to 10 speakers, codes themes, and surfaces points of agreement and disagreement, useful for marketing and communications research projects.
Focus groups
Meeting transcripts
Drop meeting transcripts (study group, research team, project meetings) and AskSia returns a structured summary with action items, decisions, and speaker-attributed quotes.
Meetings
Discussion-section transcripts
Upload a TA-led discussion section transcript and AskSia returns a topic-by-topic summary with student-by-student quotes, useful for catching up on missed sections.
Discussion sections
Foreign-language transcripts
Transcripts in Spanish, Mandarin, French, German, Japanese, or any of 40+ supported languages can be summarized with the English summary alongside, with speaker labels and timestamps preserved.
40+ languages
Compare
AskSia vs. NotebookLM,
ChatPDF, and ChatGPT.
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 |
FAQ
Common questions about transcript summarizing.
How do I summarize a transcript with AskSia?
Drag the transcript file (TXT, DOCX, MD, SRT, JSON, PDF) into AskSia. AskSia identifies speakers, parses timestamps if present, and returns a structured summary with [N] citations carrying speaker labels and timestamps. Hover any [N] to see the source line highlighted.
What transcript formats does AskSia support?
AskSia supports TXT, DOCX, MD, SRT subtitle files, JSON exports from transcription tools (Otter, Rev, AskSia transcripts), and PDF transcripts. Plain text and timestamped formats both work, and AskSia preserves the speaker structure automatically.
Can AskSia tell speakers apart?
Yes. AskSia identifies up to 10 distinct speakers in a transcript, color-codes their turns, and shows which speaker each cited claim came from. Speaker labels can be renamed (Professor, TA, Student A) after upload, and the renamed labels appear throughout the summary.
Can I extract quotes from a specific speaker?
Yes. Ask Sia to pull every quote from a specific speaker (or every quote on a specific topic) and AskSia returns the quotes with speaker labels and timestamps, useful for qualitative research, interview-based theses, and citation-ready writing.
Can I summarize multiple transcripts at once?
Yes. Drop a series of transcripts into one session (interview series, lecture series, focus groups) and AskSia handles each, then lets you ask cross-transcript questions like 'where do these interviewees agree?' or 'compare positions on topic X'.
Can AskSia summarize transcripts in other languages?
Yes. AskSia summarizes transcripts in 40+ languages and detects the source language automatically. You can also translate the summary at the same time, useful for cross-cultural research and language-area programs.
Can I export the transcript summary?
Yes. Export the speaker-labeled summary, quote lists, or coded themes as TXT, DOCX, PDF, SRT subtitles, or send to Google Docs or Notion. Citations and timestamps are preserved in the export.
Start Today
Upload a transcript. Read it speaker by speaker.
Whether a lecture transcript, an interview series, a focus group, or a meeting recording, AskSia summarizes any transcript with speaker labels and timestamped citations.
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