The short answer
Upload your podcast episode (audio or video, up to 5 GB / ~6 hours) to VexaScribe and get a multi-speaker transcript with timestamps in ~10 minutes per hour of audio. Speaker labels work best for 2–4 voices. Per-hour cost ranges from $0.20 on Studio ($20/mo) to $0.60 on Starter ($2/mo); first 30 minutes free on signup.
Other tools worth knowing about: Descript if you also want a podcast EDITOR in the same tool (different product category — they own that). Riverside if you also need to record remote interviews ($24+/mo bundles both). Rev human transcription for ~99% accuracy if you can afford ~$90/episode for legal/journalism-grade work. Whisper local install if you have a GPU and want $0 unlimited.
Are You Transcribing Your Own Podcast or Researching Someone Else's?
These are two fundamentally different jobs — most transcription guides treat them as one. The output you want and the workflow that follows depend on which side you're on.
🎙️ My own podcast
You record episodes and need transcripts as raw material for downstream content.
- Show notes for your website (curated highlights + chapter timestamps)
- Blog post version of the episode (SEO + new audience)
- Quote extraction for Twitter/LinkedIn/email newsletter
- Searchable archive across episodes (find “harassment policy” across 100 episodes)
- Accessibility (~15% of US adults have some hearing loss per CDC)
🔍 Someone else's podcast
You're researching, analyzing, or sourcing material from episodes you didn't produce.
- Academic research (qualitative analysis of media content)
- Journalism (sourcing quotes from on-the-record podcast interviews)
- Competitive intelligence (tracking what executives say on their own pods)
- Brand mention tracking (where is your company being discussed?)
- Sentiment analysis at scale across an industry's podcasts
For personal research, journalism, and academic use, transcribing someone else's podcast is generally fair use. For commercial republishing of the transcript, get permission from the creator.
Show Notes vs Transcript vs Summary (Three Different Outputs)
These three terms get used interchangeably but mean different things. Knowing which one you need saves time and produces better results.
| Output | Typical length (1-hr episode) | Used for | Who creates it |
|---|---|---|---|
| 📄 Transcript | 8,000–15,000 words (literal text) | SEO publishing, accessibility, research, content repurposing | VexaScribe (AI transcribes audio → text) |
| 📝 Show notes | 300–800 words (curated) | Episode description, listener navigation, link sharing | You (writing from the transcript) or AI assistant |
| 📋 Summary | 100–400 words (5-10 bullet points) | Email teaser, social caption, executive briefing | AI summary feature (built on top of the transcript) |
VexaScribe produces the transcript as raw material. For AI-generated summaries on top, see our transcript-to-summary tool. Show notes are something you (or an AI assistant) write FROM the transcript — the transcript is the raw material; show notes are the polished deliverable.
Why Publish Transcripts? The SEO Case Most Podcasters Miss
⚡ The honest math
Podcast audio is invisible to Google search by default. The only thing search engines can index is your episode title and description (usually 100–300 words). A 1-hour interview contains 8,000–15,000 words of indexable content if you publish the transcript. That's 30–100× more search surface per episode.
Pacific Content and Edison Research have repeatedly documented measurable organic search growth from publishing podcast transcripts:
- 2–5× organic search traffic for shows that publish full transcripts vs audio-only over 6–12 months
- Long-tail keyword discovery — listeners find episodes through unrelated searches because their specific topic was discussed mid-episode
- Accessibility audience expansion — the CDC estimates ~15% of US adults have some hearing loss; deaf and hard-of-hearing readers are an underserved market
- International audience — transcripts can be machine-translated; audio can't (easily). Multi-language transcripts open non-English audiences
- AI training data exposure — ChatGPT, Claude, Perplexity cite transcribed content; audio is invisible to them
Source: Pacific Content's research on podcast SEO; Edison Research's annual “Infinite Dial” and “Podcast Consumer” reports; CDC hearing loss statistics. Treat the 2–5× range as directional — your actual lift depends on episode topic, niche competition, and on-page SEO basics (H2 structure, internal linking, schema markup).
Multi-Host Accuracy — The Honest Reality
Speaker diarization (auto-detecting who said what) is hard. Marketing copy usually says “automatic speaker detection” without telling you how it actually performs at scale. Realistic accuracy from Whisper-based diarization (which VexaScribe uses):
| Speaker count | Typical format | Realistic label accuracy |
|---|---|---|
| 2 speakers | Solo host + 1 guest (most common interview format) | 95%+ |
| 3–4 speakers | Co-hosts + 1–2 guests | 90–95% |
| 5–6 speakers | Panel discussions, roundtables | 80–90% |
| 7+ speakers | Chaotic panels, town halls | Manual review needed |
Hardest cases for any tool (including ours):
- Same-gender voices with similar vocal range and tone
- Overlapping speech (people talking over each other)
- Remote-recorded guests with very different audio quality from host
- Background music or sound effects bleeding into voice tracks
Best practice for podcasters: after the first transcription pass, rename “Speaker 1”, “Speaker 2” → actual host and guest names. Save the named pattern as a template for future episodes with the same hosts. See our guide to Whisper diarization for technical depth.
Handling Long Episodes (1, 2, 3+ Hours)
Long-form has become standard — Joe Rogan, Tim Ferriss, Lex Fridman, Acquired, Conan O'Brien all run 2–4+ hour episodes regularly. Most free transcription tools cap at ~25 MB (roughly 30 minutes of audio) and break on long-form. VexaScribe processes long episodes as a single file with no splitting.
| Episode length | MP3 size (128 kbps) | Processing time | Fits VexaScribe's 5 GB cap? |
|---|---|---|---|
| 1 hour (typical interview) | ~55 MB | ~5–10 min | ✓ Easily |
| 2 hours (deep-dive interview) | ~110 MB | ~15–20 min | ✓ Easily |
| 3 hours (Rogan-format) | ~165 MB | ~25–30 min | ✓ Easily |
| 4–6 hours (rare deep-dives) | ~220–330 MB | ~35–60 min | ✓ Yes |
For video podcasts (1080p MP4), file sizes are 5–10× larger — a 3-hour video podcast can hit 1–3 GB. Still under the 5 GB cap, but if your video podcast routinely runs longer than 6 hours, consider compressing to 720p with Handbrake first (audio quality is what matters for transcription, not visual resolution).
Repurposing Playbook — One Transcript → Five Derived Outputs
The leverage of a podcast transcript is downstream content. Here are five concrete derived outputs from one 1-hour episode transcript, with realistic effort estimates.
1. SEO blog post
Transcript → AI-generated outline → manual polish → publish on your podcast site. ~1 hour of editing work per episode. Captures search traffic the audio alone can't.
2. Email newsletter teaser
Extract 3–5 best quotes + 2-paragraph hook from the transcript. Send to your list with a link to the full episode. ~20 minutes per episode.
3. Twitter/X thread
10–15 quote tweets from the most insightful moments. Each tweet links back to the episode timestamp. Drives social discovery for free. ~30 minutes per episode.
4. YouTube Shorts / TikTok / Reels clips
Timestamped transcript makes clip identification fast — find the 30–60-second moments worth standalone shorts. Each short captioned with VexaScribe's SRT export. ~1 hour per episode for 3–5 clips.
5. LinkedIn post (B2B podcasts)
1–2 minute video clip + key quote + call-to-action. B2B podcasts especially benefit from LinkedIn distribution where the buyer audience lives. ~30 minutes per episode.
Total derived content from one transcript: roughly 3–4 hours of post-production work yielding 5+ pieces of content across as many channels. The transcript is the bottleneck unlock — you can't do any of this efficiently without one.
팟캐스트 콘텐츠 재활용
하나의 전사로 여러 콘텐츠 조각. 모든 에피소드의 가치를 극대화합니다.
쇼노트
상세한 에피소드 요약 작성
블로그 게시물
에피소드를 글로 작성된 기사로 변환
소셜 인용
타임스탬프가 포함된 공유 가능한 인용 추출
YouTube 자막
비디오 버전용 SRT 파일 내보내기
SEO 콘텐츠
Google에서 에피소드 검색 가능하게 만들기
전사에서 쇼노트로
Before
After
호환 플랫폼
팟캐스트 전사: DIY vs VexaScribe
수동 전사
- ✗1시간 에피소드에 4-6시간
- ✗자동 화자 라벨 없음
- ✗수동 타임스탬프 입력
- ✗외주 시 비용이 많이 듦
- ✗콘텐츠 재활용 지연
추천 용도: 시간이 있는 완벽주의자
VexaScribe 사용
- ✓1시간 에피소드에 5-10분
- ✓호스트/게스트 라벨 자동
- ✓타임스탬프 자동 생성
- ✓오디오 시간당 $0.20부터
- ✓당일 쇼노트 게시 가능
추천 용도: 매주 업로드하는 팟캐스터
팟캐스트 전사 방법
에피소드 업로드
팟캐스트 오디오 또는 비디오 파일을 업로드합니다. MP3, WAV, M4A, MP4 등을 지원합니다. 모든 팟캐스트 호스팅 플랫폼의 내보내기와 호환됩니다.
AI가 화자 라벨링
AI가 에피소드를 전사하고 자동으로 다른 화자를 감지합니다—인터뷰에서 호스트와 게스트를 구별하기에 적합합니다.
내보내기 및 재활용
쇼노트용 텍스트, 블로그 게시물용 DOCX, YouTube 자막용 SRT/VTT로 전사를 다운로드합니다. 하나의 녹음으로 여러 콘텐츠를 만듭니다.
팟캐스터가 VexaScribe를 선택하는 이유
팟캐스트 워크플로우를 위해 특별히 설계된 기능
화자 감지
호스트와 게스트를 자동으로 구분합니다. 쇼노트와 인용을 올바르게 귀속하기 쉽게 만듭니다.
쇼노트 준비 완료
쇼노트, 에피소드 요약, 블로그 콘텐츠로 쉽게 변환할 수 있도록 형식화된 전사를 내보냅니다.
인용 준비 타임스탬프
모든 문장에 타임스탬프가 있습니다. 오디오그램과 소셜 클립을 위해 정확한 타이밍으로 인용을 추출합니다.
YouTube 자막
비디오 팟캐스트용 SRT/VTT 파일을 내보냅니다. YouTube에 직접 업로드하거나 비디오 편집기에 추가합니다.
당일 게시
녹음한 당일에 쇼노트를 전사하고 게시합니다. 더 이상 전사 백로그가 없습니다.
국제 청취자
99개 언어로 전사합니다. 정확한 다국어 전사로 전 세계 청취자에게 다가갑니다.
팟캐스트 전사 FAQ
RSS 피드에서 직접 가져올 수 있나요?
네, 팟캐스트의 RSS 피드 URL을 붙여넣어 에피소드를 직접 선택하고 가져올 수 있습니다. 수동으로 다운로드하고 업로드할 필요 없습니다.
호스트와 게스트가 구분되나요?
네, VexaScribe에는 자동 화자 식별 기능이 있습니다. 시스템이 다른 목소리를 식별하고 라벨을 붙입니다. 편집기에서 화자 이름을 변경할 수 있습니다(예: '화자 1'을 '김철수'로).
배경 음악이 있는 에피소드는 어떻게 되나요?
AI가 배경 음악에서 음성을 분리할 수 있습니다. 가벼운 배경 음악은 보통 문제없습니다. 음악이 너무 큰 부분에서는 정확도가 떨어질 수 있습니다.
YouTube 비디오 팟캐스트용 자막을 만들 수 있나요?
네. SRT 또는 VTT 형식으로 내보내서 YouTube Studio에 직접 업로드하세요. 타임스탬프가 자동으로 동기화됩니다.
이전 에피소드를 트랜스크립션할 수 있나요?
물론입니다. 이전 에피소드를 개별 또는 일괄로 업로드하세요. 파일 크기나 에피소드 길이 제한 없습니다. 전체 아카이브를 검색 가능하게 만드세요.
파일 크기 제한이 있나요?
VexaScribe는 어떤 크기의 팟캐스트 파일도 지원합니다—몇 분의 짧은 에피소드부터 몇 시간의 긴 쇼까지.
참고: 전사 정확도는 오디오 품질, 화자 수, 말하기 명확성에 따라 달라집니다. 배경 음악이 결과에 영향을 줄 수 있습니다.