Layanan Transkripsi Podcast
Ubah episode podcast Anda menjadi transkrip yang dapat dicari, catatan acara, dan konten blog. VexaScribe mentranskripsi podcast dengan deteksi pembicara, stempel waktu, dan ekspor untuk menggunakan kembali konten audio Anda.
Format yang didukung:
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.
Gunakan Kembali Konten Podcast Anda
Satu transkrip, banyak konten. Maksimalkan nilai setiap episode.
Catatan Acara
Buat ringkasan episode detail
Posting Blog
Ubah episode menjadi artikel tertulis
Kutipan Sosial
Ekstrak kutipan yang dapat dibagikan dengan stempel waktu
Subtitle YouTube
Ekspor file SRT untuk versi video
Konten SEO
Buat episode dapat dicari di Google
Dari Transkrip ke Catatan Acara
Before
After
Kompatibel
Transkripsi Podcast: DIY vs VexaScribe
Transkripsi Manual
- ✗4-6 jam untuk episode 1 jam
- ✗Tanpa label pembicara otomatis
- ✗Input stempel waktu manual
- ✗Mahal jika di-outsource
- ✗Menunda penggunaan ulang konten
Terbaik untuk: Perfeksionis dengan banyak waktu
Menggunakan VexaScribe
- ✓5-10 menit untuk episode 1 jam
- ✓Label host/narasumber otomatis
- ✓Stempel waktu dihasilkan
- ✓Mulai dari $0.20 per jam audio
- ✓Publikasikan catatan acara di hari yang sama
Terbaik untuk: Podcaster yang menerbitkan setiap minggu
Cara Kerja Transkripsi Podcast
Unggah Episode Anda
Unggah file audio atau video podcast Anda. Kami mendukung MP3, WAV, M4A, MP4, dan lainnya. Bekerja dengan ekspor dari platform hosting podcast mana pun.
AI Memberi Label Pembicara
AI kami mentranskripsi episode Anda dan secara otomatis mendeteksi pembicara berbeda—sempurna untuk membedakan host dari narasumber dalam wawancara.
Ekspor dan Gunakan Kembali
Unduh transkrip sebagai teks untuk catatan acara, DOCX untuk posting blog, atau SRT/VTT untuk subtitle YouTube. Satu rekaman, banyak konten.
Transkripsi Podcast Terjangkau
Transkripsi episode dengan sebagian kecil biaya layanan profesional.
Mengapa Podcaster Memilih VexaScribe
Fitur yang dibuat khusus untuk alur kerja podcast
Deteksi Pembicara
Bedakan host dan narasumber secara otomatis. Memudahkan atribusi catatan acara dan kutipan dengan benar.
Siap untuk Catatan Acara
Ekspor transkrip yang diformat untuk konversi mudah ke catatan acara, ringkasan episode, dan konten blog.
Stempel Waktu Siap Kutip
Setiap kalimat memiliki stempel waktu. Tarik kutipan dengan waktu yang tepat untuk audiogram dan klip sosial.
Subtitle YouTube
Ekspor file SRT/VTT untuk video podcast Anda. Unggah langsung ke YouTube atau tambahkan ke editor video.
Publikasi Hari yang Sama
Transkripsi dan publikasikan catatan acara di hari yang sama Anda merekam. Tidak ada lagi penumpukan transkrip.
Audiens Internasional
Transkripsi dalam 99 bahasa. Jangkau pendengar global dengan transkrip multibahasa yang akurat.
FAQ Transkripsi Podcast
Bagaimana cara membuat show notes dari transkrip?
Workflow umum: (1) Upload episode → transkrip selesai, (2) Skim transkrip untuk identifikasi 5–10 topik utama dan quote menarik, (3) Tulis ringkasan singkat dengan timestamp navigasi ("05:23 – Cara memulai karir di tech"), (4) Publish bersama episode di Spotify, Anchor, blog, atau platform podcast Anda. Untuk podcaster yang volume tinggi, fitur AI Summary di paket berbayar bisa membantu menggenerate draft show notes.
Apakah AI bisa membedakan host dan beberapa tamu?
Ya, deteksi pembicara mendukung 2–4 pembicara dengan akurasi tinggi. Untuk panel discussion dengan 5–8 tamu, akurasi pemisahan menurun tetapi masih membantu. Tip: pastikan setiap pembicara punya mikrofon sendiri jika memungkinkan — audio yang dipisah per track jauh lebih akurat dibanding satu rekaman gabungan.
Bagaimana dengan intro musik dan jingle?
AI akan mencoba mentranskripsi lirik jika ada vokal di musik. Untuk intro/outro yang murni instrumental, AI biasanya skip atau tulis "[musik]". Tip: jika intro musik Anda panjang (>30 detik) dan akurasi penting, pertimbangkan memotong intro sebelum upload untuk hemat biaya dan hasil lebih bersih.
Apakah cocok untuk podcast dengan format wawancara?
Sangat cocok — ini salah satu use case paling kuat. Deteksi pembicara secara otomatis memisahkan pewawancara dan narasumber, dengan label yang bisa Anda rename di editor. Hasilnya: format Q&A yang siap untuk show notes, blog wawancara, atau quote highlights.
Berapa biaya transkripsi untuk podcaster mingguan?
Untuk podcaster yang upload 1 episode 60 menit/minggu (4 episode/bulan = 240 menit): paket Starter $2/bulan (~Rp 32.000) untuk 200 menit cukup tipis — pertimbangkan Basic $5/bulan untuk 1.000 menit. Untuk podcast harian atau dengan banyak episode panjang, Pro $10/bulan untuk 2.500 menit memberi banyak headroom.
Apakah ada API untuk integrasi dengan workflow saya?
NovaScribe fokus pada interface web saat ini. Untuk podcaster yang ingin automate workflow lengkap (RSS feed → transkrip → blog publish), Anda bisa mengkombinasi dengan tools seperti Zapier/Make.com pada level upload + ekspor.
Apakah saya bisa mentranskripsi podcast orang lain?
Untuk penggunaan personal (catatan, kutipan dengan atribusi, belajar bahasa): umumnya diterima sebagai fair use. Untuk konten yang akan dipublikasikan: pertimbangkan hak cipta — kutip dengan atribusi yang tepat, jangan reproduksi episode lengkap sebagai konten Anda sendiri tanpa izin host.
Apakah file episode saya aman?
Ya. File dienkripsi saat upload (HTTPS/TLS) dan saat disimpan (encryption at rest). Hanya akun Anda yang bisa mengakses. Tidak dibagikan ke pihak ketiga. Tidak digunakan untuk melatih AI. Dapat dihapus permanen kapan saja — penting untuk episode yang masih dalam editing atau belum publish.
Catatan: Akurasi transkripsi bergantung pada kualitas audio, jumlah pembicara, dan kejelasan ucapan. Musik latar belakang dapat mempengaruhi hasil.