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Product updates, tutorials, and AI transcription insights.

Introducing the transcribe.so API: speech-to-text as a Bearer token
·Transcribe.so
We've shipped a public HTTP API for transcribe.so. Same models, same per-minute pricing, same wallet — accessed with one API key. Built for scripts, pipelines, and anything you'd rather not paste files into a browser for.
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We Increased the Free Trial Credit to $0.50
·Seunghun Lee
The original $0.10 wasn't enough to transcribe a real video. We bumped every account to $0.50, enough to try a 14-minute YouTube video with our most accurate model.
free trialproduct updatetranscription creditqwen3-asryoutube transcription
Best AI Meeting Notes Tool for Multilingual Teams (2026 Roundup)
·Transcribe.so
We compare Otter, Fireflies, Fathom, Avoma, and Granola as AI meeting notes tools for multilingual teams — and explain why searchable transcripts beat polished summaries.
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Best Subtitle Generator for Multilingual Creators (2026 Roundup)
·Transcribe.so
We compare HappyScribe, VEED, Kapwing, Descript, and Sonix as subtitle generators for multilingual creators — and explain why subtitle quality really starts with transcript quality.
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The Best Way to Turn YouTube Videos Into Notes Is to Make Them Searchable
·Transcribe.so
Turn YouTube videos, course videos, podcasts, and recordings into notes, transcripts, and cited answers. A better way to learn from long videos without scrubbing.
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Best YouTube-to-Notes Tool for Learners (2026 Roundup)
·Transcribe.so
We compare NoteGPT, YouLearn, Turbo AI, Knowt, and PolarNotes AI as YouTube-to-notes tools — and explain why exact-moment search beats yet another summary.
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Transcribe.so vs Adobe Express Captions: A Subtitle Generator With Real Constraints
·Transcribe.so
Transcribe.so vs Adobe Express captions compared on subtitle generator accuracy, multi-model speech-to-text, configurable export controls, and creator workflows beyond Adobe Express.
transcribe.so vs adobe express captionsAdobe Express alternativesubtitle generatorAI subtitle generatorautomatic subtitles+2
Transcribe.so vs Avoma: AI Meeting Notes for Revenue Teams, Compared
·Transcribe.so
Transcribe.so vs Avoma compared on AI meeting notes, sales call transcription, multilingual accuracy, and the searchable transcript layer beneath the analytics.
transcribe.so vs avomaAvoma alternativeAI meeting notesmeeting transcriptionsales call transcription+2
Transcribe.so vs Canva Captions: When You Outgrow Built-in Auto Subtitles
·Transcribe.so
Transcribe.so vs Canva captions compared on subtitle generator accuracy, multilingual transcripts, configurable export controls, and creator workflows beyond a design tool.
transcribe.so vs canva captionsCanva alternativesubtitle generatorAI subtitle generatorautomatic subtitles+2
Transcribe.so vs Descript: Which Workflow Wins for Transcripts and Subtitles?
·Transcribe.so
Transcribe.so vs Descript compared on transcript accuracy, multi-model speech-to-text, subtitle export, and the workflows each tool is actually built for.
transcribe.so vs descriptDescript alternativesubtitle generatorAI subtitle generatorautomatic subtitles+2
Transcribe.so vs Fathom: Free AI Meeting Assistant vs Searchable Transcripts
·Transcribe.so
Transcribe.so vs Fathom compared on AI meeting notes, meeting transcription, multi-model speech-to-text, and the searchable transcript layer teams need beyond a free recap.
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Transcribe.so vs Fireflies.ai: Which Meeting Transcription Workflow Wins?
·Transcribe.so
Transcribe.so vs Fireflies.ai compared on AI meeting notes, meeting transcription, sales call transcription, and the searchable workflows teams actually need.
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Transcribe.so vs Grain: Sales Call Transcription and Searchable Recordings
·Transcribe.so
Transcribe.so vs Grain compared on sales call transcription, AI meeting notes, multi-model speech-to-text, and citation-first searchable archives for revenue teams.
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Transcribe.so vs Granola: Local-First Notes vs Searchable Meeting Transcripts
·Transcribe.so
Transcribe.so vs Granola compared on AI meeting notes, transcript accuracy, multi-model speech-to-text, and the searchable archive teams need beyond an in-meeting note pad.
transcribe.so vs granolaGranola alternativeAI meeting notesmeeting transcriptionAI meeting assistant+2
Transcribe.so vs HappyScribe: Which Subtitle Generator Wins on Transcript Quality?
·Transcribe.so
Transcribe.so vs HappyScribe compared on subtitle generator workflow, multilingual transcript accuracy, model selection, and creator export quality.
transcribe.so vs happyscribeHappyScribe alternativesubtitle generatorAI subtitle generatorautomatic subtitles+2
Transcribe.so vs Kapwing: When You Need More Than Auto Captions
·Transcribe.so
Transcribe.so vs Kapwing compared on subtitle generator accuracy, transcript reuse, multilingual speech-to-text, and how each handles long-form creator content.
transcribe.so vs kapwingKapwing alternativesubtitle generatorautomatic subtitlesAI subtitle generator+2
Transcribe.so vs Knowt: Searchable Video Transcripts vs Flashcard-First Studying
·Transcribe.so
Transcribe.so vs Knowt compared on YouTube to notes, lecture transcripts, exact-moment search, and how each tool fits into a real long-form study workflow.
transcribe.so vs knowtKnowt alternativeYouTube to noteslecture note takerask questions about YouTube videos+2
Transcribe.so vs NoteGPT: Beyond a YouTube Transcript Generator
·Transcribe.so
Transcribe.so vs NoteGPT compared on YouTube transcript generation, study notes, cited answers, and the workflows learners actually use to find exact moments.
transcribe.so vs notegptNoteGPT alternativeYouTube transcript generatorYouTube to notesask questions about YouTube videos+2
Transcribe.so vs Otter: AI Meeting Notes vs Searchable Meeting Transcripts
·Transcribe.so
Transcribe.so vs Otter compared on AI meeting notes, meeting transcription accuracy, searchable transcripts, and the workflows teams need beyond a polished summary.
transcribe.so vs otterOtter alternativeAI meeting notesmeeting transcriptionsales call transcription+2
Transcribe.so vs PolarNotes AI: Lecture & Meeting Notes With Searchable Transcripts
·Transcribe.so
Transcribe.so vs PolarNotes AI compared on lecture transcripts, meeting notes, exact-moment search, and the multi-model speech-to-text that drives accurate notes.
transcribe.so vs polarnotes aiPolarNotes AI alternativelecture note takerYouTube to notesaudio to notes+2
Transcribe.so vs Read AI: AI Meeting Notes With Searchable, Cited Transcripts
·Transcribe.so
Transcribe.so vs Read AI compared on AI meeting notes, meeting transcription, multi-model speech-to-text, and the searchable transcript layer beneath the analytics.
transcribe.so vs read aiRead AI alternativeAI meeting notesmeeting transcriptionAI meeting assistant+2
Transcribe.so vs Sonix: Subtitle Generator Showdown for Multilingual Creators
·Transcribe.so
Transcribe.so vs Sonix compared on multi-model speech-to-text, subtitle export controls, multilingual accuracy, and creator workflows beyond a single ASR engine.
transcribe.so vs sonixSonix alternativesubtitle generatorAI subtitle generatorautomatic subtitles+2
Transcribe.so vs Tactiq: YouTube Transcript Generator and Meeting Notes Compared
·Transcribe.so
Transcribe.so vs Tactiq compared on YouTube transcript generation, meeting notes, multi-model speech-to-text, and exact-moment search across long media.
transcribe.so vs tactiqTactiq alternativeYouTube transcript generatorAI meeting notesask questions about YouTube videos+2
Transcribe.so vs tl;dv: Multilingual Meeting Notes With Searchable Transcripts
·Transcribe.so
Transcribe.so vs tl;dv compared on AI meeting notes, multilingual meeting transcription, multi-model speech-to-text, and citation-first searchable archives.
transcribe.so vs tldvtl;dv alternativeAI meeting notesmeeting transcriptionAI meeting assistant+2
Transcribe.so vs Turbo AI: Lecture Note Taker That Actually Finds the Moment
·Transcribe.so
Transcribe.so vs Turbo AI compared on lecture note taking, YouTube to notes, exact-moment search, and the transcript accuracy that determines how useful your notes really are.
transcribe.so vs turbo aiTurbo AI alternativelecture note takerYouTube to notesask questions about YouTube videos+2
Transcribe.so vs VEED: A Subtitle Generator Built on Transcript Quality
·Transcribe.so
Transcribe.so vs VEED compared on subtitle generator accuracy, multi-model speech-to-text, export controls, and the creator workflow that follows the captions.
transcribe.so vs veedVEED alternativesubtitle generatorautomatic subtitlesAI subtitle generator+2
Transcribe.so vs YouLearn: Which Turns YouTube Videos Into Notes Better?
·Transcribe.so
Transcribe.so vs YouLearn compared on YouTube to notes, transcript accuracy, exact-moment search, and how each tool handles long-form learning workflows.
transcribe.so vs youlearnYouLearn alternativeYouTube to notesYouTube transcript generatorask questions about YouTube videos+2
AI Meeting Notes Are Useful. Searchable Transcripts Are Usually Better.
·Transcribe.so
AI meeting notes are useful, but teams often need the exact moment where a decision, objection, or next step was said. Why searchable transcripts matter more than summaries.
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Why Subtitle Quality Starts With Transcript Quality, Not Just a Subtitle Generator
·Transcribe.so
Built-in auto captions are fast, but better subtitle quality starts with a better transcript. See why creators need a transcript-first subtitle generator workflow.
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The Most Accurate Transcribing Tool for Any Language — Chapters, Q&A, and Export-Ready Subtitles
·Transcribe.so
Transcribe.so picks the best speech-to-text model for your language so you get the lowest Word Error Rate. Break down videos and audio into chapters, Q&A with citations, and export-ready subtitles (SRT/WebVTT) to speed up your workflow. Backed by published WER benchmarks from GPT-4o Transcribe, Qwen3-ASR-Flash, and Mistral Voxtral.
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AI Transcription for Creators, Podcasters, Editors & Learners: Subtitles, Chapters & Search
·Transcribe.so
How creators, podcasters, editors, and curious learners use Transcribe.so to generate subtitles for CapCut and Premiere Pro, create chapters, and search their content library. Choose from GPT-4o Transcribe, Qwen3-ASR-Flash, ElevenLabs Scribe, Gemini, and more.
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Choose Your ASR (Speech-to-Text) Model: One Platform, Every Top Model
·Transcribe.so
Why Transcribe.so lets you pick from GPT-4o Transcribe, Qwen3-ASR-Flash, ElevenLabs Scribe, Gemini, Mistral Voxtral, and Amazon Transcribe — all with the same workflow for chapters, subtitles, search, and Q&A.
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How to Import AI-Generated Subtitles into CapCut, Premiere Pro, DaVinci Resolve & Final Cut Pro
·Transcribe.so
Step-by-step guide to exporting SRT and WebVTT subtitles from Transcribe.so and importing them into CapCut, Premiere Pro, DaVinci Resolve, and Final Cut Pro. Includes platform presets for YouTube, TikTok, and Netflix-style captions.
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Every ASR Model on Transcribe.so: Benchmarks, Pricing, and When to Use Each
·Transcribe.so
A complete guide to every speech-to-text model Transcribe.so supports — GPT-4o Transcribe Diarize and Qwen3-ASR-Flash — plus upcoming models: ElevenLabs Scribe v2, Google Gemini, Mistral Voxtral, and Amazon Transcribe. Includes WER benchmarks, pricing breakdowns, and a model selection guide.
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Subtitle Feature Comparison 2026: Transcribe.so vs 10 Competitors (Full Matrix)
·Transcribe.so
A 35-row feature comparison of subtitle tools across pro editors, creator caption apps, and subtitle QC platforms. Compare Transcribe.so against DaVinci Resolve, Premiere Pro, Final Cut Pro, CapCut, VEED, Kapwing, Descript, Submagic, OpusClip, and Happy Scribe on CPL, CPS, export formats, styling, and more.
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Subtitle Export Comparison: Transcribe.so vs CapCut, Descript, VEED & More
·Transcribe.so
A detailed feature-by-feature comparison of subtitle and caption tools. See how Transcribe.so's subtitle engine stacks up against CapCut, Descript, VEED, Kapwing, Submagic, DaVinci Resolve, and AutoSubs on constraints, export formats, presets, and AI features.
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Introducing Qwen3-ASR-Flash: Top-Tier AI Transcription with Leaderboard-Leading Accuracy
·Transcribe.so
Transcribe.so now supports Qwen3-ASR-Flash from Alibaba — ranked #1 on the HuggingFace Open ASR Leaderboard with 4.25% average WER, supporting 74 languages including 22 Chinese dialects and 12-hour files.
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Audio Evidence Transcription: Fast, Accurate, and Citable
·Transcribe.so
Transcribe audio recordings for legal review, compliance, and documentation. Get accurate transcripts with timestamps for quick verification and citation.
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Podcast Transcription: Turn Episodes Into Searchable Knowledge
·Transcribe.so
Transcribe podcast episodes with AI. Get chapters, topics, speaker labels, and searchable transcripts. Perfect for show notes, research, and content repurposing.
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Voice Memo Transcription: Turn Recordings Into Searchable Notes
·Transcribe.so
Transcribe voice memos privately and securely. Convert iPhone voice memos, Android recordings, or any audio file into organized, searchable notes with AI.
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Meeting Transcription: Make Hours of Company Audio Searchable
·Transcribe.so
Transcribe meetings, interviews, and training calls. Find decisions, action items, and key moments instantly with AI-powered search and Q&A.
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Audio Chapters: Turn Long Recordings Into Navigable Sections
·Transcribe.so
Automatically generate chapters and topics from long audio files. Navigate 2-hour recordings in seconds with AI-powered chapter generation.
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YouTube Transcription: Get a Full Transcript in Seconds
·Transcribe.so
Learn how to transcribe any YouTube video instantly. Paste a link, get a searchable transcript with chapters, topics, and AI-powered Q&A — no manual work.
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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
T1Happiness Versus Success: A Personal Reflection
T2Freedom Through Non-Desire: Socratic Wisdom
T3Alexander and Diogenes: Two Paths to Happiness
T4Defining Success and Its Relation to Happiness
T5Happiness and Motivation: A Practical Dilemma
T6Innate Drive to Act Despite Contentment
T7Happiness Enabling Higher Purpose and Action
T8Rejecting Asceticism: Lessons from Buddha's Journey
T9Choosing Material Success for Happiness
T10Winning the Game to Transcend Desire
T11Short-Term Suffering for Long-Term Gain
T12Attaching Satisfaction to Pain Versus Outcomes
T13Distinguishing Physical Pain from Mental Suffering
T14Regret Over Not Enjoying the Journey
T15Reflecting on Past Life Stages
T16Gaining Wisdom from Self-Reflection
T17Applying Temperament and Experience in Hindsight
T18The Value of Retrospective Self-Assessment
T19Choosing Less Emotional Turmoil in the Past
T20Effectiveness Through Emotional Peace
T21The Journey Matters More Than Success
T22The Endless Cycle of Desire and Boredom
T23Earning Money Brings Pride and Happiness
T24Money Solves Problems, But Not Desire
T25Enjoying the Journey Is Essential
T26Minimizing Desires to Increase Happiness
T27Focus and Selectivity Lead to Success
T28The Mixed Value of Fame
T29Fame’s Social and Status Benefits
T30The High Costs and Contradictions of Fame
T31Fame Across History: Spiritual, Artistic, Scientific Icons
T32Conquerors and the Complexity of Historical Fame
T33Public Proclamations and Evolving Beliefs
T34The Pressure of Public Persona Versus Private Life
T35Learning Through Error Correction and Changing Views
T36Human Nature: Constant Change and Growth
T37Authenticity Versus Public Image and Social Perception
T38Being Wrong Versus Being Disingenuous
T39Seeking Respect: Authenticity Over Mass Approval
T40Status Games and Social Approval: Overcoming Distraction
T41Status Versus Wealth in Hunter-Gatherer Societies
T42Modern Wealth Creation and Positive-Sum Games
T43Collective Wealth Growth Since Ancient Times
T44The Zero-Sum Nature of Status Games
T45Combative Status Games Versus Cooperative Wealth Creation
T46Material Benefits of Wealth Over Status
T47Unprecedented Opportunities for Wealth Creation Today
T48Effort and Skill Still Required for Wealth
T49Increased Social Mobility Compared to the Past
T50Prioritizing Wealth Creation Over Status Seeking
T51Wealth, Status, and Human Motivation
T52Understanding Wealth Beyond Survival Needs
T53Status Versus Wealth: The Never-Ending Game
T54Leaderboards and the Infinite Status Race
T55Social Media and Constant Status Comparison
T56Metrics and the Status Treadmill
T57Trajectory Versus Position in Status
T58Evolutionary Roots of Loss Aversion
T59Innate Reluctance to Surrender Gains
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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