The most accurate AI transcription for any language

Turn YouTube videos, interviews, voiceovers, and recordings into accurate transcripts, searchable playback, and export-ready subtitles. Pick the best speech-to-text model for your language for better subtitle accuracy than basic auto-captions.

Cleaner subtitles and better transcript quality than basic auto-captions in CapCut, Final Cut Pro, Premiere Pro, and DaVinci Resolve.

No credit card required.·Pay only for what you use.·50+ languages.

Building something with audio? See the API for developers →

Browse real transcripts across podcasts, lectures, and meetings

See more examples →
Try this real transcript
44 Harsh Truths About The Game Of Life - Naval Ravikant (4K)
Chris Williamson
Contents
8 chapters · 513 topics
1Happiness Versus Success: Philosophical Reflections on Contentment, Desire, and Motivation
2Optimizing Sleep: Smart Temperature Regulation and the Foundations of Self-Esteem
3Decisive Action and Iterative Practice: Keys to Optimal Choices and Mastery
4Wealth Management: From Materialism to Value Creation and Fair Compensation
5Evaluating LLMs: Capabilities, Limitations, and Their Role in AI's Evolving Landscape
6Pathogens, Evolution, and Knowledge: How Humans Adapt and Defend
7Agency, Power, and the Individual: From Child Development to Cultural Conflict
8Unseen Trends: Media Oversights, Medical Limitations, and the Primitive State of Modern Biology
Q&A preview
Answer
Naval explains two distinct paths to happiness using the story of Alexander and Diogenes. The first path is through success—conquering the world, satisfying material needs, and getting what you want. The second path, exemplified by Diogenes living in a barrel, is simply not wanting in the first place. As Socrates said when shown luxuries: 'How many things there are in this world that I do not want.' Naval suggests not wanting something is as good as having it—both paths lead to the same destination of contentment [00:38–01:10]. He's not sure which path is more valid, noting it depends on how you define success [01:10–01:25].

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Why people use transcribe.so

Pick the best speech-to-text model for your language and budget
Turn transcripts into chapters, citations, and searchable playback
Export subtitles you can actually use in your editing workflow
Private & Secure
Enterprise-grade encryption

Speech-To-Text (ASR) Models

OpenAI
QwenQwen
MistralComing soonElevenLabsGoogle GeminiAWS
Works with
YouTube
Google Meet
Zoom
Microsoft Teams
Loom
Voice Memos
Video files
Audio files
Export to
CapCut
Final Cut Pro
Premiere Pro
DaVinci Resolve
Copy to
Notion
Apple Notes
Google Keep
OneNote
Evernote
Obsidian
WhatsApp
Slack
Telegram

Supports MP4, MOV, WebM, MP3, WAV, M4A, AAC, FLAC, OGG, and more.

YouTube to textSpeech to textAudio to textVideo to textVoice note to textGoogle Meet to textLoom to textLecture video to notesSubtitle generatorSearchable transcripts

How it works

Six clicks from a YouTube link to usable output

Real screenshots from a real transcript. No mockups, no marketing fluff — this is what you get.

The AI Transcription Platform Where You Choose Your Speech-to-Text Model

All-in-one AI transcription tool for creators, podcasters, editors, and curious learners. Pick the best ASR (speech-to-text) model for your needs — get chapters, subtitles, AI Q&A with citations, and speaker identification. Export SRT/WebVTT for CapCut, Premiere Pro, DaVinci Resolve, Final Cut Pro.

GPT-4o Transcribe, Qwen3-ASR-Flash, ElevenLabs Scribe, Gemini, Mistral Voxtral, Amazon Transcribe — one platform, same workflow. Upload YouTube links or audio files, choose your model, and get instant answers with timestamps. Semantic search powered by text-embedding-v4 (2048 dim).

  1. 1

    Paste a YouTube link or upload a file

    YouTube, Loom, Google Meet, Zoom, Voice Memos, MP4/MP3/WAV — pick a tab and drop it in.

    Paste a YouTube URL and pick the best speech-to-text model for your language
  2. 2

    Get auto-generated chapters

    Every transcript is split into chapters and topics with timestamps — no scrubbing required.

    Table of contents with 8 chapters and 513 topics auto-generated from a 3-hour podcast
  3. 3

    Drill into any topic

    Open a chapter to see topic-level summaries and the exact transcript snippet that was said.

    Chapter expanded showing per-topic summary and transcript snippet with timestamps
  4. 4

    Ask questions, get cited answers

    Ask anything. Answers cite the exact moments in the video so you can verify, not just trust.

    AI-powered Q&A answer with inline timestamps and three cited topic cards
  5. 5

    Export SRT, WebVTT, or text

    Choose a preset, preview the subtitle file, and export to CapCut, Premiere, Final Cut, or DaVinci Resolve.

    Subtitles export panel with SRT preset, words-per-cue stats, and preview
  6. 6

    Search across the whole transcript

    Topic search and Q&A in one keyboard-driven palette. Jump straight to the moment that matters.

    Search and Q&A modal with suggested questions and topic search across the transcript

No credit card required. Pay only for what you use.

The real cost of bad transcription

Transcription should not cost you twice

Most transcription tools look cheap until you start fixing the transcript yourself.

If the model struggles with your language, accent, names, or technical terms, you lose time correcting errors, rechecking quotes, fixing subtitles, and replaying long files just to find one useful section.

Per file

1 hour of audio transcribed

+ 30–60 min fixing transcript errors

+ 15–30 min fixing subtitles

+ 10–20 min finding the right moment again

= 55–110 extra minutes after the transcript is done

Per month

10 videos per month

+ 25–45 min of cleanup per video

= 4–7.5 hours lost every month

More than a transcript

Everything you need after speech to text

Most tools stop at raw transcription. transcribe.so helps you go further from choosing the right model for your language and budget to finding key moments faster and exporting subtitles you can actually use.

Stop wasting time correcting transcript errors by hand
Find key moments faster with chapters, citations, and playback
Export subtitles you can actually use in your editing workflow
Choose the model that fits your accuracy and budget needs

Per file

1 hour of audio uploaded

→ transcript, chapters, and speaker labels in one pass

→ subtitles exported without manual reformatting

→ answers with timestamps instead of re-listening

= 55–110 minutes saved after transcription

Per month

10 videos per month

→ less cleanup per video

→ faster quote finding

→ subtitles ready for your workflow

= 4–7.5 hours saved every month

Better fit for your language and budget

Choose the speech-to-text model that gives you the right balance of accuracy and cost for your language, accent, and workflow.

Find moments, answers, and quotes faster

Turn long transcripts into chapters, cited answers, and searchable playback so you can jump straight to what matters.

Export subtitles with real control

Generate subtitle files that are easier to use in your editing workflow, with more control over how captions are timed and displayed.

Choose Your ASR (Speech-to-Text) Model

Pick the right model for your language and budget

Not every model performs the same across languages or price points. Your entire workflow stays the same: chapters, search, Q&A, subtitles, and exports work with every model.

OpenAIPremium
GPT-4o Transcribe Diarize
Highest accuracy with built-in speaker identification
Top accuracy transcription
Speaker identification & labeling
58 languages, sentence timestamps
$0.04/min · $2.48/hr
QwenQwenTop-Tier
Qwen3-ASR-Flash
Leaderboard-leading accuracy with word-level timestamps
#1 on HuggingFace Open ASR Leaderboard (4.25% avg WER)
33 languages, word timestamps (10 langs)
Emotion detection, long-form audio
$0.02/min · $1.24/hr
Mistral AINew
Voxtral Mini Transcribe
Word-level timestamps with speaker labels
Word-level timestamps in 13 languages
Speaker labels & context biasing
13 languages, lowest cost per minute
Lowest cost per minute
OpenAIEmbeddings
text-embedding-v4
2048-dim vectors for semantic search across all pipelines
Maximum retrieval accuracy
Superior semantic understanding
Find moments by meaning
Included with every pipeline

Coming Soon — More Top-Tier Pipelines

ElevenLabs Scribe v2 (2.3% WER)Google Gemini (2.9% WER)Amazon Transcribe

No credit card required. Pay only for what you use.

A note from the maker

Hey, I'm Seunghun 👋

I have a confession: I've bookmarked hundreds of podcasts I'll probably never finish.

The best parts are usually in there somewhere. A 90 second insight buried inside three hours of small talk. But finding them feels like archaeology with a teaspoon.

In early 2023, I left Spotify to work on this problem. We built goodlisten.co, pushed hard, and eventually ran out of runway.

The product worked. The business didn't.

The team moved on, and I went back to a desk job with a lot learned and a clearer idea of what to build next.

I was tired of spending two hours just to find the two minutes that mattered.

So in 2025, I stopped trying to build for “the market” and built the tool I wished existed for one very specific user: me.

Accurate transcription, built for real world audio

English is the easy part.

The harder and more interesting stuff is Korean mixed with English brand names, Japanese podcasts with three speakers, Spanish lectures recorded in noisy rooms, or long interviews where the useful moment is hiding somewhere in the middle.

So I built transcribe.so to choose the best speech to text model for the job, depending on the language, audio, and use case.

You get accurate transcripts, chapters, topics, speaker labels, searchable playback, and cited answers with timestamps.

Made to fit into the tools you already use

Start with a YouTube link, iPhone Voice Memo, Zoom recording, Google Meet, Loom, or any audio or video file.

Then send the transcript wherever you already think and work: ChatGPT, Claude, Notion, Apple Notes, Obsidian, Slack, or your editing workflow.

No new system to learn. No messy CSV exports. No digging through a three hour file just to find one useful moment.

  • iPhone Voice Memos
  • YouTube
  • Zoom
  • Google Meet
  • Loom
  • ChatGPT
  • Claude
  • Notion
  • Apple Notes
  • Obsidian
  • Slack

If you're a creator, podcaster, editor, researcher, student, or just someone who learns by listening, I made this for you too.

Try it. If it saves you time, tell me.

If it doesn't, tell me directly.

That's how it gets better.

Who it's for

For creators, learners, builders — and anyone tired of unusable transcripts

transcribe.so is built for people who work with long audio and video and need more than a wall of text.

No credit card required. Pay only for what you use.

Use it in your app

Same engine, accessed with one Bearer token

The transcribe.so API ships everything the dashboard runs on. Drop it into agents, video tools, meeting bots, voice memo apps — anywhere you need accurate speech-to-text without managing models or workers.

Three lines of glue

curl https://transcribe.so/api/v1/transcriptions \
  -H "Authorization: Bearer tsk_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "source": "youtube",
    "url": "https://youtu.be/dQw4w9WgXcQ",
    "pipeline_code": "qwen3-asr-flash-filetrans"
  }'

YouTube, file upload via presigned S3, or any direct audio URL — same response shape.

  • AI agents

    Drop a transcript into your agent's context. Claude, ChatGPT, Cursor — anything that calls HTTP.

  • Video editors and tools

    Word-level timestamps, burn-in captions, SRT/VTT export. Same engine as the dashboard.

  • Meeting bots and call platforms

    Transcribe Zoom, Twilio, or any recording the moment a call ends. Webhook fires when ready.

  • Voice memos, podcasts, language apps

    50+ languages including Chinese dialects. Auto-detect or pin a specific code per request.

Use cases

From transcription to something actually useful

Whether you are publishing, editing, researching, or learning, transcribe.so helps you get usable output from long-form content faster.

Podcast and interview transcription

Search long conversations, find strong quotes, and jump straight to important moments with chapters, citations, and playback.

Subtitle creation for videos

Generate subtitles that are easier to use in your editing workflow, with more control than rough auto-captions.

Learning from YouTube and lectures

Turn long videos into structured content with chapters, cited answers, and searchable playback so you can study faster.

Meeting and recording review

Upload calls, notes, or voice recordings and quickly find decisions, highlights, and follow-up moments without re-listening to everything.

No credit card required. Pay only for what you use.

FAQ

Before you try transcribe.so

Transcribe free — no credit card required. You pay only for what you transcribe after that. Add credits and use them across any model. You see the exact cost before you confirm each transcription.

No. There is no subscription required. You pay only for what you use, and you can subscribe to a monthly plan for a lower rate if you want.

Because the cheapest option is not always the cheapest once you factor in cleanup time, and the most expensive option is not always necessary. transcribe.so lets you choose the model that fits your language, budget, and quality needs.

Choose based on your language, budget, and how accurate you need the transcript to be. The goal is to help you find the right balance instead of overpaying or settling for unusable output.

More than raw text. You can get chapters, cited answers, searchable playback, and subtitle export so the transcript becomes something you can actually use.

Yes. You can paste a YouTube link or upload audio/video files.

No. It is also useful for podcasters, interviewers, students, researchers, and curious learners working with long-form content.

Yes. Every new account gets free credit to transcribe — no credit card required. Upload a file or paste a YouTube link, choose a model, and see the exact price quote before you confirm.

Find the most accurate model for your language

Upload your own file or paste a YouTube link, compare models, and see the exact price before you confirm. Chapters, citations, playback, and subtitle export included.

No credit card required. Pay only for what you use.

Keep scrolling for details

Product features in depth

Complete AI Pipeline

Why Choose Us?

Whether you're a creator, podcaster, editor, or curious learner — choose your ASR (speech-to-text) model and keep one workflow. Top accuracy with comprehensive AI analysis — chapters, subtitles for CapCut/Premiere Pro/DaVinci Resolve, semantic search, and Q&A with citations.

What You Get

Choose your model: GPT-4o Transcribe, Qwen3-ASR-Flash, ElevenLabs Scribe, Gemini, Mistral Voxtral, Amazon Transcribe
Speaker labels — identifies who said what (GPT-4o Transcribe Diarize)
AI topic detection (Advanced NLP)
Book-like structure (Topics → Chapters, + Segments for timestamped pipelines)
Semantic embeddings (text-embedding-v4)
AI Q&A with timestamped citations (Qwen3.6-Plus RAG + qwen3-rerank)
AI summarization & takeaways (Qwen3.6-Plus)
Entity extraction & speaker identification
S3 storage for audio & text files

No credit card required. Pay only for what you use.

Subtitles & Captions for Creators, Podcasters & Editors

Export Subtitles for CapCut, Premiere Pro, DaVinci Resolve & More

Generate SRT and WebVTT subtitles with word-level timestamps from GPT-4o Transcribe, Qwen3-ASR-Flash, ElevenLabs Scribe, Gemini, Mistral Voxtral, or Amazon Transcribe — ready to import into CapCut, Premiere Pro, DaVinci Resolve, Final Cut Pro, or any video editor. Choose a platform preset or customize every parameter.

Platform Presets

One-click presets tuned for each platform's readability standards. Each preset controls characters per line, max lines, reading speed (CPS), timing gaps, and more.

YouTube
Long-form captions optimized for readability
20 CPS · 2 lines
TikTok / Shorts
Short, punchy single-line captions
20 CPS · 1 line
Netflix-style
Professional broadcast with strict reading speed
17 CPS · 2 lines
Podcast
Longer segments with speaker labels
15 CPS · 2 lines
Broadcast / TV
Traditional broadcast standards
15 CPS · 2 lines
Custom
Full control over every parameter

Export Formats

Export in the format your video editor needs — SRT and WebVTT import directly into CapCut, Premiere Pro, DaVinci Resolve, and Final Cut Pro.

SRT
CapCut, Premiere Pro, DaVinci Resolve, Final Cut Pro & more
WebVTT
Web players, CapCut, and editors with styling support
Karaoke VTT
Word-by-word highlight timing
JSON
Full data with word timestamps

Powered by Word-Level Timestamps

Unlike simple text-splitting tools, our subtitle engine uses precise word-level timestamps from your transcription to build optimally timed cues.

DP-optimized word boundary selection
Smart line breaking at natural pauses
CPS-aware reading speed optimization
Automatic gap and duration enforcement
Speaker label support for multi-speaker content
Live preview before export
Privacy First

Your Private Files Stay Private

Worried about uploading sensitive audio? We built our infrastructure with privacy as the foundation.

Encrypted Storage

Your files are stored in private Cloudflare R2 buckets with time-limited access links. Only you can view your transcriptions.

Instant Deletion

Delete anytime — all data is instantly removed from our servers. No backups, no retention, completely gone.

Trusted Infrastructure

Only Cloudflare (storage) and OpenAI (transcription) — both with proven enterprise-grade security track records. No other third parties involved.

Your Data, Your Control

We don't use your content for AI training. Your transcriptions are private and never shared or made public.

Questions about privacy? Contact us

Export & Share

Copy & Download Everything

Export your transcriptions in markdown format with playable YouTube timestamps and direct links

Table of Contents
Chapters
Search Results
Q&A History
One-click copy Markdown download Playable YouTube links Direct timestamps Time ranges