如何用 AI 转录播客：分步指南

隆重推出 Eleven v4，这是我们迄今为止最具情感表现力的模型。

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要转录播客，内容创作者首先需要决定是手动将音频写出来，还是借助人工智能。对于希望节省时间并简化后期制作流程的人来说，后者通常是更好的选择。

将播客音频转录为文本可以扩大节目的传播范围、改善搜索结果，并提升每位听众的可访问性。无论你是在制作独立访谈系列，还是负责企业媒体网络，建立一套稳健且可重复的播客转录工作流程，都能帮助你在极短的时间内将原始媒体转化为可灵活改编的内容。

本指南介绍如何用 AI 转录播客的基本原理，概述分步流程、发布标准以及内容再利用的方法。

摘要

播客转录将单集音频转换为书面文本，并附有说话人标签和时间戳，从而提升节目的可访问性和可搜索性.
可靠的工作流程始于你拥有的音频文件，终于导出前的审核。
AI 转录可在几分钟内生成完整单集，而人工审核可提高处理高难度音频或关键引语时的准确性。
SRT 和 VTT 文件非常适合播客应用和字幕，而纯文本或 HTML 文件更适合你的网站和博客。
Apple Podcasts 和 Spotify 均接受创作者提供的转录文本。在单集页面上提供完整转录文本，可让搜索引擎获取对话的全文。

什么是播客转录，以及它为何重要

播客转录是将播客单集的口语音频转换为书面文本的过程。完整的转录文本会标明说话者身份，并标记每个片段的开始时间。人工和 AI 转录服务均可生成转录文本，许多创作者会结合使用两者。

创作者转录单集有四个实际原因：

可访问性：转录文本让失聪和听障听众能够完整访问你的内容和单集。它也能服务于偏好阅读或浏览内容的听众。
搜索可见性：文本会被搜索引擎索引，从而获得更好的可见性。发布在单集页面上的转录文本可为 Google 等搜索引擎提供对话的完整内容，用于排名。
内容再利用：转录文本为撰写节目笔记、博客文章、新闻通讯和社交媒体帖子提供基础内容。
可搜索的档案：借助转录文本库，你的团队和听众可以轻松找到提及某个主题的确切单集。

平台支持程度的提升使这件事变得更加重要。Apple Podcasts 会为新单集自动生成转录文本，并允许听众点击任意一行，从该处开始播放音频。Spotify 会在其移动应用中为符合条件的创作者显示转录文本。你的转录文本如今就位于单集旁边，成为收听体验的一部分。

Four benefits of podcast transcripts: accessibility, search, repurposing, and archives.

如何转录播客：分步工作流程

你可以通过五个步骤转录一集播客：导出音频、选择方法、上传并配置、审核输出，以及导出最终文件。下面的每个步骤都独立成篇，方便你随时回到需要的那一步。

Five-step podcast transcription workflow: prepare, choose, configure, review, and publish.

第 1 步：导出单集音频

从你拥有或有权转录的音频文件开始。这通常是录音软件导出的母版文件，或播客托管平台发布的文件。请使用可获得的最高质量版本，因为清晰的音频能为模型提供最清晰的信号。

如果你的主持人和嘉宾通过调音台或远程录音平台使用各自独立的麦克风录音，请保留多轨或多声道文件。这有助于在第 3 步中实现更清晰的说话人分离。ElevenLabs 支持 AAC、AIFF、OGG、MP3、OPUS、WAV、FLAC、M4A 和 WebM 音频，以及用于视频播客的视频文件，网页应用中每个文件最大 3GB。标准模式可接受最长 10 小时的录音。

第 2 步：选择转录方法

评估 AI 转录是否足够准确，还是单集应经过人工审核流程。在经处理的录音空间中录制的单人表演通常只需简短的自查。通过视频通话录制的六人小组讨论则可能需要额外资源。

播客转录软件和播客转录服务在周转时间以及处理高难度音频的方式上有所不同。以下是选择人工或 AI 播客转录的主要优势：

AI 播客转录： ElevenLabs Scribe v2 可转录 90 多种语言的音频和视频文件，并按你发送的音频小时数计费。
人工转录服务：专业转录服务会人工审核播客的每一行内容，这对于密集的专业术语或需要逐字准确的引语很有价值。不过，周转时间会更长，每分钟转录成本也会显著更高。

人工与 AI 结合的混合审核可能最适合某些创作者，因为它能让你快速生成高质量转录文本，同时仍节省成本。

AI vs. human podcast transcription: use AI for speed, then send it for human review.

第 3 步：上传并配置

在 ElevenCreative 中，打开语音转文本，点击转录文件，然后上传你的单集。提交之前，请设置与你的录音相匹配的选项：

语言：对于多语言单集，将此选项保留为自动检测；如果你知道主要语言，也可以选择该语言。
说话人分离： Scribe 会自动检测并标记每位说话人，单个文件最多支持 32 位说话人。
多声道转录：当每位说话人位于单独声道时，API 会独立处理每个声道，并按声道编号分配说话人 ID，最多支持五个声道。
关键词提示：添加嘉宾姓名、节目名称、赞助商名称和反复出现的专业术语，以便模型正确拼写它们。批量转录 accepts up to 1,000 key terms and adds 20% to the base transcription cost.
Audio event tagging: Turn on Tag audio events to mark laughter and applause.
Clean output: Through ElevenAPI, set no_verbatim to remove any filler words and false starts.

Six settings matched to language, speakers, channels, terms, events, and output.

Step 4: Review and edit the output

Open the finished transcript in the Transcript Editor. Click any word to play the audio from that point, then correct misheard names and reassign any lines attributed to the wrong speaker. The editing section below covers verbatim and clean output in more depth. Check the Transcription Editor Guide for more editing details.

Step 5: Export in the format you need

Click Export and pick the format for your destination. An HTML or plain text file suits your episode page, and an SRT or VTT file suits captions and podcast platforms. The formatting and publishing sections below explain which file goes where.

How to best record podcast audio for accurate transcripts

Features like no_verbatim go a long way to producing a final transcript that’s legible and accurate. However, for best results, incorporate the following habits into your recording process before you upload:

Record each speaker separately: Where possible, use a separate microphone and track for each individual person. Then transcribe with multichannel transcription for cleaner speaker separation across all of your guests.
Avoid talking over one another: Episodes with crosstalk or loud music can be hard to transcribe. Where possible, speak in turn.
Transcribe a voice-only export: Loud music can make speech harder to transcribe. Upload a mix without music or sound effects when you have one.
Add brand and guest names with keyterm prompting: Add your brand name and guest names to your pronunciation dictionary. Adding keyterms allows for more accurate transcription.

Four transcription habits: separate speakers, avoid crosstalk, use voice-only audio, add names.

How to format a podcast transcript

A transcript presented as a continuous block of text is difficult to read and quote, even if every word in it is accurate. A great podcast transcript breaks the conversation down into short speaker-labeled segments with timestamps. From there, you can export that to the file type your destination expects.

Timestamp

Speaker

Text

00:00:04

Host

Welcome back to the show. Today we are talking about how small teams plan a release calendar.

00:00:11

Guest

Thanks for having me. We started by mapping every launch to one shared calendar.

00:00:19

Host

[laughter] That sounds like a lot of color coding.

ElevenCreative supports exporting transcripts in a range of formats. Identify the choice that aligns with where the transcript will be stored. The formats listed in the Transcript Editor guide are:

Format:

Best used for:

Plain text

Drafting show notes and blog posts

HTML

Publishing the full transcript on your episode page

SRT or VTT

Captions for video podcasts and transcript uploads to Apple Podcasts and Spotify

JSON

Developers who need word-level timing data for search tools or custom players

The Speech to Text product guide also walks through the upload and export options in ElevenCreative.

How to transcribe a podcast export formats

How to add speaker labels, timestamps, and audio context

Speaker labels enhance the readability of a transcript. Scribe v2 detects each voice in a shared recording and automatically marks the speaking turns through diarization. When your setup records each person on a separate mic and track, multichannel transcription gives cleaner separation. Every channel corresponds to a single speaker, allowing the model to assign each word to its originating track. Once transcribed, change generic labels such as speaker_0 to the names of your host and guest.

By adding timestamps, a transcript becomes easier to navigate. Scribe v2 provides timestamps at the word level, while the API additionally supports timing at the character level. This level of precision drives tap-to-play transcripts in podcast applications, letting users skip straight to the start of a topic. Spotify also needs timestamps in the uploaded transcript files to keep the text synchronized during playback.

Audio context ensures the conversation's tone remains consistent. Switch on audio event tagging to detect non-verbal sounds like applause and laughter. In interviews and comedy shows, the audience's reaction forms part of the content, and including a tag like [laughter] captures that moment for readers of the text format.

Edit for accuracy without losing the speaker's meaning

Start the editing process by selecting either verbatim or clean output. Scribe v2 features a no-verbatim mode that eliminates filler words and creates a more fluid reading experience. Verbatim output retains every word exactly as spoken.

Apply this guideline when making your choice:

Clean transcripts: Use them for show notes and blog repurposing, where readability matters most.
Verbatim transcripts: Use them for news and legal podcasts, or for any episode where a guest's exact words might be quoted or scrutinized. If you publish a clean version of a sensitive episode, check every quote against the verbatim transcript first.

The Transcript Editor in ElevenCreative allows you to correct mistakes while listening to the audio. Select any word to begin playback from that position, then enter your correction directly. You can split and combine segments, move timestamp handles, assign segments to another speaker, and reduce playback speed for difficult-to-hear sections. Once you have edited a segment, choose Align words to recalculate its word-level timestamps.

Comparison of clean and verbatim podcast transcripts, with guidance on uses and quote verification.

Publish podcast transcripts on podcast platforms and your website

To maximize the reach of your transcripts, distribute them strategically across platform apps and your owned web domain. Each channel uses distinct technical protocols to display text to listeners.

Apple Podcasts allows creators to supply custom transcript files directly through RSS feeds using the <podcast:transcript> namespace tag. Creators can also upload SRT or WebVTT files directly within Apple Podcasts Connect. Note that these creator-provided files are separate from Apple's native in-app auto-transcripts, which are read-only and cannot be exported. See Apple’s transcripts guide for more details.

Spotify automatically generates transcriptions for select shows, but coverage across catalog episodes remains variable. Providing your own verified transcript through your RSS feed helps ensure Spotify displays accurate text that reflects your actual show content. For more information, read Spotify’s podcast transcripts guide.

Publishing the complete transcript on your official website episode page remains a reliable strategy for search engine indexation. Embedding written text directly on your domain ensures search engines index your episode content, driving organic web traffic independently of platform shifts.

Platform specifications and RSS feed requirements change over time. Production teams should always verify the current technical documentation provided by Apple Podcasts, Spotify, and their podcast hosting service before deploying new RSS tags.

Guide to publishing podcast transcripts on Apple Podcasts, Spotify, or a website.

Repurpose podcast transcripts for SEO, clips, and social posts

Only a few listeners read an entire transcript from beginning to end. Its greatest value is serving as the foundation for all other content you create about the episode. Since the text includes timestamps and speaker labels, you can trace every derived segment to the exact point in the audio.

Blog posts: Turn a strong 10-minute segment into a standalone article. Edit the spoken answers to written form while keeping the guest's key phrasing, then link back to the episode.
Social posts: Pull quotable lines directly from the transcript. Scribe's timestamps are word-level; you can confirm the exact wording and find the matching audio in seconds.
Chapter markers: Scan the transcript for topic shifts and note their timestamps. Chapters help listeners navigate long episodes, and Apple Podcasts uses them to break transcripts into sections.
Clip selection: Use the JSON export's timing data to locate powerful moments, such as a laugh line or a sharp answer, before you open your video editor.

The full transcript on your episode page remains its own search asset, separate from any derivative content. A blog post might target one keyword, while the complete transcript captures the long-tail phrases your guests used naturally. For more information, look at other ways content creators use speech to text.

ElevenLabs supplies the accurate, time-stamped transcript that makes this repurposing possible. Cutting video clips and designing social graphics happen in separate editing tools.

Ways to repurpose a timestamped transcript for blogs, social posts, chapters, clips, and search.

Get started with ElevenCreative for podcast transcription

ElevenCreative gives you the full podcast transcription workflow in your browser. Upload an episode to Speech to Text, then review the result in the Transcript Editor before exporting to the formats Apple Podcasts and Spotify accept. Scribe v2 transcribes more than 90 languages and is the default model in the web app.

Developers can build the same workflow into a podcast hosting platform or publishing pipeline with the Speech to Text API. The API adds options such as multichannel transcription and webhooks for long files.

Start transcribing your podcast today. Try the ElevenLabs podcast transcript generator on your latest podcast episode.

FAQ

First of all, export the episode audio, or use the file your host published. Next, upload it to a speech to text tool like Eleven Scribe v2, review the result, and export it. If you’re the owner of the show, you can use Apple Podcasts Connect and Spotify for Creators to download the transcripts they automatically generate, although quality may vary.

A podcast transcript is the written text of an episode, usually with speaker labels and timestamps that show who said what and when.

ElevenLabs Scribe v2 automatically transcribes podcast audio and video files in over 90 languages. Be sure to review the output before publishing, especially names and any passages where speakers talk over each other.

General-purpose chat tools are primarily built to work with text. One common workflow is to transcribe the audio with a dedicated speech-to-text model first, then paste the transcript into a chat tool to summarize or analyze it. For consistent transcription results, a purpose-built STT tool is recommended.

Use SRT or VTT for podcast platforms and captions, HTML or plain text for your episode page, and JSON when developers need word-level timing data.

Apple Podcasts generates transcripts for new episodes, and listeners on iOS 17.4 or later can view them from the episode details page. Show owners can also download the transcript in Apple Podcasts Connect.

ElevenLabs Scribe v2 delivers state-of-the-art transcription accuracy across major languages such as English, French, Italian, Portuguese, Spanish, and German. Use a human review for episodes with dense jargon or quotes that must be exact.

Turn on speaker diarization, then rename the generic labels, such as speaker_0, to the names of your host and guest in the ElevenLabs dashboard. If you provide a VTT file to Apple Podcasts, each speaker's name appears with their lines.

A transcript on your episode page gives search engines the full text of the conversation to index, including the long-tail phrases your guests used.

Written by

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Jack Limebear

Growth Marketing

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Jack Limebear is on the Growth team, acting as a content writer and strategist across the blog and insights pages. Before ElevenLabs, he spent over a decade leading content strategy for organizations ranging from fast-growing SaaS startups to Fortune 500 companies. He holds a Master's degree in English Literature from the University of Cambridge.