TranscriptAI Features Overview
TranscriptAI includes 20 integrated productivity features: AI transcription with speaker identification, automatic note generation, flashcard creation, quiz mode, active recall study sessions, reading mode for PDFs, meeting mode with action items and decisions, vocabulary extraction, highlights, assessment generation, speaker diarisation, live recording, calendar integration, and collaborative study tools.
One Upload. 20 AI Features.
Upload audio, video, or paste a YouTube link, and get transcripts, detailed study notes, flashcards, quizzes, action items, and more. All from a single source.
Audio, video, or PDF
Lecture_W7_ML.mp3
47 min · Uploaded
Speaker-Labelled Transcripts
Every word, timestamped and attributed. Search, export, or feed into any other feature.
The key difference between supervised and unsupervised learning is the presence of labelled training data. In supervised learning, every example in our training set has a corresponding label or target value.
Reinforcement learning takes a different approach entirely: the agent learns through trial and error, receiving reward signals for desirable outcomes.
Could you clarify the difference between classification and regression in supervised learning?
Classification predicts categories, like spam or not spam, malignant or benign. Regression predicts continuous values, like tomorrow's temperature, a stock price, or a house valuation.
… 42 more minutes of transcript
Structured Study Notes
Hierarchical notes with key takeaways, generated from any transcript or document.
1. Machine Learning Paradigms
Three core approaches: supervised, unsupervised, and reinforcement learning
Key differentiator: availability of labelled training data
Choice depends on problem structure, data availability, and feasibility of human supervision
2. Supervised Learning
Classification: predicts categorical outputs (spam detection, image recognition)
Regression: predicts continuous values (price forecasting, temperature)
Key Takeaway
Choice of ML paradigm depends on data availability, problem structure, and whether human supervision is feasible at scale.
... 10 more sections
From Conversation to Action
Every action item, owner, deadline, and decision, extracted automatically.
"We need the API docs updated before the partner launch on March 15th. James, can you take the auth section?"
"Sure, I'll handle authentication. Should take about two days. I'll also add the new rate limiting docs."
"Perfect. Let's also schedule a dry run with the partner team next Wednesday."
"I'll review the onboarding flow and have updated mocks by Friday."
... 27 more minutes
API docs must be fully complete before March 15 partner launch.
Active Recall Study Cards
Adaptive flashcards with spaced repetition, generated from your content.
Question:
What is the primary function of the electron transport chain in cellular respiration?
Answer:
The electron transport chain transfers electrons through protein complexes in the inner mitochondrial membrane, creating a proton gradient that drives ATP synthase to produce ~34 ATP molecules per glucose.
Annotate, Highlight, Study
Import PDFs and documents. Highlight, annotate, and extract vocabulary inline.
Chapter 3: Neural Network Architectures · Page 47
A convolutional neural network (CNN) is a class of deep neural networks most commonly applied to analysing visual imagery. CNNs use a variation of multilayer perceptrons designed to require minimal preprocessing.
The architecture of a CNN is analogous to the connectivity pattern of neurons in the human brain, inspired by the organisation of the visual cortex. Individual neurons respond to stimuli only in a restricted region known as the receptive field.
Compare this with the biological visual cortex from lecture 5. Key similarity: hierarchical feature detection.
A collection of such fields overlap to cover the entire visual area. Pooling layers reduce the spatial dimensions progressively, enabling the network to learn translation-invariant features.
Test Your Understanding
Auto-generated quizzes with instant scoring and explanations.
What year was the perceptron model first introduced?
✓ Correct!
Frank Rosenblatt introduced the perceptron model in 1958 at the Cornell Aeronautical Laboratory.
Study & Learning
Turn lectures, documents, and recordings into structured study materials. Notes, flashcards, quizzes, vocabulary: all generated automatically.
Transcripts
Convert audio, video, or YouTube links to accurate, searchable text with speaker labels.
Notes
Detailed structured study notes from any lecture, so you can stop rewriting by hand.
Flashcards
24+ study cards auto-generated per lecture. Active recall made effortless.
Quiz Mode
Test yourself before the exam tests you. AI quizzes from any content.
Study Mode
Complete study packages of notes, cards, and quizzes from one source.
Reading Mode
Import PDFs and slides, annotate, highlight, and generate summaries.
Vocabulary
Extract technical terms and definitions with contextual examples.
Highlights
Colour-coded highlights across all your content, searchable and exportable.
Assessment
Practice essays and get structured feedback on your writing.
Work & Meetings
Capture, organise, and follow through on everything from your meetings and calls. Speaker identification, action items, decisions: extracted automatically.
AI Detector & Humanizer
Check if text was written by AI with per-sentence highlighting, then humanize it to sound natural.
Meeting Mode
Action items, decisions, and notes, ready 3 minutes after every call.
Recording
Record audio directly in your browser with instant transcription.
Speakers
Speaker diarisation identifies who said what with talk-time analytics.
Actions & Decisions
Track every commitment, deadline, and decision from your meetings.
Calendar
Unified view of meetings, recordings, and study sessions.
Summary
Concise AI summaries of any transcript, document, or meeting.
Ask Transcripta
Chat with your transcripts and documents. Ask questions, get answers.
Subtitles & Captions
Generate broadcast-quality SRT & VTT subtitles from any audio or video.
Music Recognition
Detect music vs speech, transcribe lyrics, and keep captions clean. No more garbled music.
Music Video Studio
Turn any song into a beat-synced music video with karaoke captions, AI scenes, and a Spotify Canvas.