How To Transcribe Acast Podcasts Automatically

Acast now offers built-in transcription for creators on paid plans, making it possible to generate, view, copy, and download text versions of podcast episodes directly from the Acast dashboard. For creators who need additional capabilities such as synchronized editing, SRT and VTT subtitle exports, broader language support, translation, or advanced AI analysis, dedicated automated transcription platforms such as Sonix provide another option.

Sonix supports automated transcription in 54+ languages, browser-based transcript editing, speaker identification, subtitle creation, Custom Dictionaries, and multiple export formats. These capabilities can make it easier to turn podcast recordings into captions, articles, show notes, and other content.

Key Takeaways

Acast offers native transcription for creators on its paid plans
Acast transcripts can be viewed, copied, downloaded, and displayed with or without timestamps
Acast currently supports native transcription in eight languages
Acast does not currently attach its generated transcripts directly to podcast episodes
Sonix supports automated transcription in 54+ languages and translation into 55+ languages
Speaker identification can help organize interviews and multi-speaker podcast recordings
Custom Dictionaries let creators add recurring names, brands, and specialized terminology
Sonix supports SRT and VTT subtitle exports for video and caption workflows
AI analysis tools can generate summaries and analyze themes, topics, sentiment, chapters, and entities
Publishing transcripts can provide search engines with additional crawlable text about an episode

Why Automated Podcast Transcription is Useful for Acast Creators

A podcast episode’s title, description, and show notes provide search engines with some text about the content, but they rarely capture everything discussed in the recording. Publishing a transcript gives search engines and readers substantially more text describing the episode.

Transcripts can also support accessibility and content repurposing.

Boost Accessibility and Inclusivity

Written transcripts give Deaf and hard-of-hearing audiences another way to access audio content. They also help people who prefer reading, need to reference a specific passage, or cannot listen at a particular moment.

For video versions of podcasts, synchronized captions provide an additional accessibility layer by displaying spoken content alongside the video.

Improve Search Engine Discoverability

Publishing transcripts adds crawlable text containing the names, topics, terminology, questions, and ideas discussed during an episode.

A transcript does not guarantee higher rankings, but it can provide useful supporting content for an episode page when combined with clear titles, descriptions, headings, internal links, and other relevant page content.

Unlock New Content Opportunities

Your transcript can provide source material for:

Blog posts with headings and supporting links
Social media quotes and excerpts
Email newsletters summarizing episode takeaways
YouTube captions for video versions of the episode
Show notes and episode summaries
Long-form content built from multiple related episodes

Transcription gives creators a written source they can review and adapt instead of repeatedly listening to the entire recording.

Choosing the Best Transcription Software for Your Acast Podcast

Acast’s built-in transcription may be sufficient if you primarily need readable or downloadable transcript text.

A dedicated transcription platform becomes more useful when you need advanced editing tools, subtitle formats, additional languages, translation, collaboration, AI analysis, or integrations with other production software.

Evaluating Accuracy and Speed

AI transcription accuracy depends on factors such as audio quality, background noise, microphone placement, speaker clarity, overlapping speech, language, and specialized terminology.

Sonix advertises up to 99% transcription accuracy for clear recordings. Actual results vary according to the source audio, so creators should review important transcripts before publication.

Processing time can also vary. Sonix’s product pages advertise transcription substantially faster than real time, while its Help Center provides more conservative processing guidance. For that reason, creators should avoid relying on an exact turnaround for every recording.

Key Features to Look For

Useful capabilities for podcast transcription include:

Speaker diarization to distinguish between multiple speakers
Custom Dictionaries for podcast names, guest names, brands, and specialized terminology
Multiple export formats including SRT, VTT, DOCX, PDF, and TXT
Browser-based editing with synchronized media playback
Confidence highlighting to identify words that may need review
Translation capabilities for multilingual publishing
Team collaboration when multiple people review or edit transcripts

Understanding Pricing Models

Transcription platforms use different pricing models, so compare them based on your publishing frequency and required features.

Sonix offers pay-as-you-go and subscription options, with different included usage and capabilities depending on the plan. High-volume organizations can also contact Sonix about Enterprise options.

Step-by-Step: How to Automatically Transcribe Your Acast Podcast

There are two practical workflows.

If Acast’s native transcript provides everything you need, you can generate it directly in Acast.

If you need Sonix-specific editing, subtitle, translation, export, or AI capabilities, use the original podcast audio file and transcribe it in Sonix.

Option 1: Generate a Transcript Directly in Acast

Acast documents the following process for paid-plan creators:

Log in to Acast and go to Episodes.
Open the episode you want to transcribe or create a new episode.
In Episode Details, wait until the episode audio has finished encoding.
Scroll to the Transcript section.
When the status displays Ready to Transcribe, click Transcribe Episode.
Wait for Acast to complete the transcript. Processing time depends on factors including episode length, audio quality, and server load.
Once complete, view the transcript, show or hide timestamps, copy the text, or download it.

Acast currently supports transcription in English, Spanish, French, German, Dutch, Italian, Norwegian, and Swedish.

Acast also notes that its generated transcript cannot currently be attached directly to the episode. If you want listeners to access it, you can publish the transcript on a webpage or document and add a link to that resource in the episode description.

Option 2: Transcribe Your Acast Podcast with Sonix

Use this workflow when you need capabilities beyond Acast’s native transcript tool.

Step 1: Locate Your Original Podcast Audio

Use the original audio file you created or uploaded during your podcast production process.

For the most reliable workflow, use the final audio version that matches the published Acast episode. This helps ensure timestamps and subtitle exports correspond to the version your audience hears.

Avoid relying on undocumented browser download methods or assuming that any Acast page URL can be imported directly into a transcription platform.

Step 2: Upload the Audio to Sonix

Log into your Sonix account and upload the audio file.

Sonix supports common audio and video formats including MP3, WAV, M4A, AAC, MP4, MOV, and AVI.

Choose the language spoken in the recording and start transcription.

Sonix currently supports automated transcription in 54+ languages.

If your episode contains multiple supported languages, use Sonix’s multilingual transcription workflow rather than assuming the platform will automatically detect every language.

Step 3: Review and Edit Your Transcript

Once processing is complete, open the transcript in the Sonix browser editor.

You can:

Click transcript text to navigate to the corresponding moment in the recording
Use the confidence heatmap to identify words Sonix is less certain about
Correct names and specialized terminology
Edit speaker labels
Use Find and Replace for recurring corrections
Add important words and phrases to a Custom Dictionary for future transcription jobs

Custom Dictionaries allow you to save terminology Sonix should recognize. They do not automatically learn from every manual correction.

Review time depends on recording quality and the level of polish required for publication.

Step 4: Export the Format You Need

Choose the export format that matches your publishing workflow.

SRT or VTT: Subtitle and caption workflows
DOCX: Further editing in word-processing software
PDF: Sharing or archival
TXT: Plain-text publishing and content repurposing

Sonix supports additional export formats as well, depending on the workflow.

Enhancing Your Acast Podcast with AI-Powered Features

Dedicated transcription platforms can add analysis tools beyond the basic transcript itself.

Uncovering Key Insights with AI Analysis

AI analysis features in Sonix include:

Thematic analysis to identify recurring ideas
Topic detection to identify subjects discussed
Entity detection for people, organizations, locations, dates, and other entities
Sentiment analysis to examine emotional tone
Chapter generation to break longer recordings into sections
Custom prompts for asking questions about transcript content

These features can reduce the amount of manual review required when working with long recordings or collections of podcast interviews.

Creating Summaries

Sonix can also generate automated summaries from transcripts.

Summaries can provide source material for:

Show notes
Email newsletter previews
Social media copy
Episode descriptions
Internal editorial review

AI-generated summaries should still be checked against the original recording or transcript before publication.

Making Your Acast Podcast Accessible with Subtitles and Captions

Video versions of podcasts require synchronized captions rather than plain transcript text.

Generating Captions for Your Videos

Automated subtitle generation in Sonix can generate timed subtitle files from a transcript.

Common exports include:

SRT for YouTube and many other video platforms
VTT for web players and HTML5 video
Burned-in subtitles for supported video files where captions should remain permanently visible

Sonix also provides controls for subtitle timing and presentation.

Reaching a Wider Audience

Captions make video content accessible to Deaf and hard-of-hearing audiences and help people follow content when they cannot or do not want to play audio.

For international audiences, translation features can translate completed transcripts into 55+ languages.

Sonix’s translation workflow is:

Transcribe the original recording.
Review and correct the source transcript.
Open the Translations menu.
Choose Translate transcript to a different language.
Select the target language.
Review the machine-generated translation before publishing it.

Correcting the original transcript first is important because transcription errors can carry into the translated version.

Seamless Workflow: Integrating Podcast Transcription into Your Content Strategy

Transcription becomes more useful when it fits into the rest of your production workflow.

Streamlining Your Production Process

Sonix supports several workflow options:

Google Drive and Dropbox: Upload audio and video files directly from supported cloud storage
Zoom: Use supported Zoom workflows and integrations for recorded conversations
Adobe Premiere: Export transcript and caption information into video editing workflows
Final Cut Pro X: Export FCPXML for supported production workflows
Web publishing: Share or embed transcripts and media through Sonix publishing tools

Check the requirements of each integration before building it into an automated production workflow.

Collaborating on Podcast Content

For teams producing multiple shows, collaboration features include:

Shared team folders
Read-only and edit access
Paragraph-level notes and comments
Granular permissions at the account, folder, and file level
Version history

These tools can help centralize transcript review without relying on multiple copies of documents passed between team members.

Exploring Free and Paid Options for Acast Podcast Transcription

Different transcription tools work for different production requirements.

When Free Options Suffice

Free or trial transcription can be useful when:

Testing whether transcription fits your workflow
Working with occasional recordings
Evaluating transcription quality before subscribing

Feature limits vary between providers, so check current usage limits, export options, supported languages, and privacy terms before relying on a free service.

Sonix currently gives new users 30 minutes of free transcription.

Investing in Professional Transcription

A paid transcription service can make sense when you:

Publish frequently
Need SRT, VTT, DOCX, PDF, or other export formats
Need transcription in additional languages
Want automated translation or AI analysis
Work with a team that needs shared access and permissions
Regularly repurpose podcast content

The right option depends on your recording volume and the features you actually use.

Beyond Transcription: Leveraging Podcast Transcripts for SEO and Engagement

A transcript can be useful on its own or serve as source material for more structured content.

Optimizing Transcripts for Search Engines

Instead of publishing an unedited transcript solely for SEO, create a useful page for readers.

You can:

Add descriptive headings around major topics
Link internally to related episodes or resources
Provide a concise introduction or summary
Include relevant guest and resource links
Make the transcript easy to navigate

A transcript can add substantial crawlable text, but ranking outcomes depend on the overall usefulness and quality of the page.

Podcast transcripts can also provide source material for:

LinkedIn posts featuring interview insights
Short posts highlighting key takeaways
Instagram carousel copy
Captions for podcast video clips
Promotional quotes

One transcript can support multiple pieces of content without requiring you to repeatedly review the full recording.

Why Sonix Can Complement Acast Podcast Transcription

Acast’s built-in transcription now covers many basic transcript needs, including generating, viewing, copying, and downloading transcript text.

Sonix can complement that workflow when creators need additional functionality.

Broader language support: Sonix supports automated transcription in 54+ languages, compared with the eight languages currently listed for Acast’s native transcription feature.
Subtitle exports: Sonix exports SRT and VTT files for video and caption workflows.
Browser-based editing: The transcript editor is synchronized with the source media, allowing users to click transcript text and navigate directly to the corresponding audio.
Custom Dictionaries: Add recurring podcast names, guest names, brand names, and specialized terminology to improve recognition of important vocabulary.
AI Analysis: Generate summaries and chapters, identify themes and topics, perform sentiment analysis, detect entities, and use custom AI prompts.
Translation: Translate completed transcripts into 55+ supported languages and export translated subtitles.
Team collaboration: Use team folders, paragraph notes, permission controls, and version history to coordinate transcript review.
Flexible integrations: Import files from services such as Google Drive and Dropbox and connect transcript workflows with supported media production tools.
Security: Sonix documents SOC 2 Type II certification, TLS 1.3 encryption in transit, AES-256 encryption at rest, two-factor authentication, and additional Enterprise security controls.

The third-party workflow is straightforward: use the final podcast audio file, upload it to Sonix, select the spoken language, review the completed transcript in the browser editor, and export the formats needed for your website, video channels, social content, or internal workflow.

Acast can continue to handle podcast hosting and distribution, while Sonix can provide additional transcription, editing, subtitle, translation, and analysis capabilities when the native Acast transcript is not sufficient.

The Final Verdict: Choosing Between Acast and Sonix

Acast’s native transcription is a practical option for creators who need to generate, view, copy, or download transcript text directly from the Acast dashboard. For many basic transcription and repurposing workflows, that may be enough.

Sonix becomes useful when you need capabilities beyond Acast’s native tool, including SRT and VTT subtitle exports, 54+ transcription languages, translation into additional languages, synchronized transcript editing, Custom Dictionaries, AI Analysis, and team collaboration.

The best option depends on how you plan to use the transcript. If you primarily need readable text for show notes, articles, or basic repurposing, Acast’s native transcription may meet your needs. If the transcript also needs to support video captions, multilingual publishing, advanced analysis, or collaborative production workflows, Sonix provides additional tools for those use cases.

Want to take your Acast transcripts further? Try Sonix to create captions, translate episodes, analyze transcripts, and export content for your wider publishing workflow.

Frequently Asked Questions

Can I use Acast’s built-in transcription instead of Sonix?

Yes. Acast currently provides transcription to paid-plan creators and lets you view, copy, download, and show or hide timestamps in generated transcripts. Sonix becomes useful when you need capabilities such as SRT or VTT subtitle exports, synchronized transcript editing, broader language support, translation, Custom Dictionaries, AI Analysis, or team collaboration.

Can I transcribe an Acast podcast in Sonix without downloading the MP3 first?

For the most reliable workflow, use the original audio file from your podcast production process and upload it directly to Sonix. Sonix does support URL imports from certain supported public platforms, but its current documentation does not establish arbitrary Acast episode or RSS audio URLs as a standard supported workflow, so creators should not rely on that method.

How accurate is AI transcription for podcast interviews?

Accuracy depends on the platform and recording conditions. Sonix advertises up to 99% transcription accuracy for clear recordings. Background noise, overlapping speakers, microphone quality, accents, language, and specialized terminology can all affect results. Custom Dictionaries can help Sonix recognize important recurring terms, but Sonix does not document a specific percentage improvement from using them.

Is my podcast content secure with Sonix?

Sonix documents SOC 2 Type II certification, TLS 1.3 encryption for data in transit, AES-256 encryption for data at rest, and two-factor authentication. Enterprise plans also include additional controls such as SSO/SAML. Review the features included with your specific plan if you handle particularly sensitive podcast material.

Can I translate my Acast podcast transcripts into other languages?

Yes. Sonix supports machine translation into 55+ languages after the original recording has been transcribed. The recommended workflow is to review and correct the source transcript first, then select the target language from the Translations menu and review the translated text before publishing it.

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