Existing Transistor publishers
The add-on keeps transcription, editing, RSS delivery, and the episode website in the same hosting dashboard.
Independent tool overview
Transistor AI Transcription at a glance
Transistor AI Transcription is a paid add-on for Transistor podcast-hosting accounts that converts episodes to editable, speaker-labeled transcripts and publishes or exports them in common caption and web formats.
Visit the official Transistor AI Transcription site ↗
- Product type
- Podcast-hosting transcription add-on
- Speech provider
- Deepgram AI
- Languages
- More than 50 spoken languages advertised
- Exports
- SRT, VTT, JSON, HTML, and TXT
- Trial credits
- 60 minutes for eligible Transistor accounts
- Required account
- Paid Transistor podcast-hosting subscription
- Reviewed
- September 1, 2026
Overview
What Transistor AI Transcription is
Transistor AI Transcription is not a standalone transcription service. It sits inside Transistor's podcast-hosting workflow: a publisher opens an episode, spends transcription credits, reviews the generated text, fixes wording and speaker labels, and can expose the finished transcript through a hosted episode page and podcast RSS metadata.
The feature uses Deepgram for speech-to-text, automatically detects speakers, supports more than 50 spoken languages, and exports SRT, VTT, JSON, HTML, and plain text. That makes it useful for accessibility, searchable episode pages, captions, quotations, and repurposing, particularly for publishers already paying Transistor to host several shows.
Transistor explicitly says the output is not 100% accurate. Names, jargon, accents, overlapping speech, low-quality audio, and speaker changes require editorial review. A transcript should never be published as an exact record—or used for sensitive legal, medical, personnel, or compliance decisions—without checking it against the audio.
Use cases
Who Transistor AI Transcription is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Multi-show podcast teams
Transistor allows multiple podcasts and collaborators on one base account, so shared transcription credits can fit a network workflow.
Accessibility-conscious producers
VTT, SRT, and RSS-linked transcript pages can make spoken content available to more listeners after a human quality pass.
Publishers repurposing interviews
Editable text and timestamped formats can speed up show notes, quotations, articles, social clips, and research.
Capabilities
Core Transistor AI Transcription features
Episode-level AI transcription
Generates a transcript from audio already attached to an episode in a Transistor account.
Speaker detection
Automatically separates speakers into labeled sections, which users can rename and correct in the editor.
Transcript editor
Lets publishers edit individual words, split or merge paragraphs, correct speaker labels, replay timestamps, and delete text.
Five export formats
Downloads plain text, SRT and VTT captions, timestamped JSON, or web-ready HTML.
Hosted transcript pages
Creates a shareable web transcript with timestamps for each episode.
Podcast-app delivery
Adds the transcript location to the RSS feed so compatible podcast applications can display it.
Multilingual recognition
Advertises transcription for more than 50 spoken languages.
Manual transcript upload
Publishers can instead paste or upload an externally created SRT, VTT, TXT, or JSON transcript.
Process
How the Transistor AI Transcription workflow works
Step 1
Prepare the recording
Use clean, separated microphones where possible and listen for severe noise, crosstalk, or missing audio before spending credits.
Step 2
Open the episode
Save the episode in Transistor and select its Transcripts tab.
Step 3
Generate with AI
Start transcription and spend one account credit per minute of audio.
Step 4
Review against the audio
Correct names, numbers, technical language, paragraph boundaries, and speaker identities while replaying the relevant timestamps.
Step 5
Obtain approvals
For sensitive interviews or quotations, confirm the text with the responsible editor or speaker before making it public.
Step 6
Publish or export
Use the hosted page and RSS transcript, or download the format required by a website, video platform, caption tool, or archive.
Step 7
Check the public result
Verify formatting, accessibility, timestamp links, indexing intent, redactions, and mobile readability after publication.
Cost
Transistor AI Transcription pricing and free plan
AI transcription requires a Transistor hosting plan plus an optional monthly credit add-on. On September 1, 2026, base hosting started at $19 per month, and transcription cost $5 for 300 minutes or $20 for 1,200 minutes. Credits replenish on the account renewal date; retranscribing an episode uses more credits.
Trial transcription
60 minutes included
A limited test allocation for eligible Transistor accounts.
- Up to one hour of audio
- Requires access to a Transistor account
- Intended to test quality before enabling a paid add-on
Transcription 5 hours
$5/month add-on
Monthly pool for lower-volume podcast transcription.
- 300 minutes per month
- Approximately $1 per included hour when fully used
- Credits replenish on the regular monthly or annual renewal date
- Requires a separate hosting plan
Transcription 20 hours
$20/month add-on
Larger monthly pool for frequent or multi-show publishing.
- 1,200 minutes per month
- Approximately $1 per included hour when fully used
- Credits replenish on the regular renewal date
- Requires a separate hosting plan
Starter hosting
$19/month
Lowest-priced base subscription required to use the add-on.
- 14-day free trial
- Unlimited podcasts, episodes, storage, and team members advertised
- 20,000 monthly downloads
- Yearly billing offers 12 months for the price of 10
Professional hosting
$49/month
Base hosting plan with higher audience limits and publishing automation.
- 100,000 monthly downloads
- 500 private podcast subscribers
- Dynamic ads and show notes
- Automatic YouTube posting
Business hosting
$99/month
Base hosting plan for larger publishers.
- 250,000 monthly downloads
- 3,000 private podcast subscribers
- Professional features included
- Branding removal
Pricing checked . Check current pricing at the source ↗
Assessment
Transistor AI Transcription strengths and limitations
Where it stands out
- Fits directly into the episode publishing workflow for existing Transistor customers
- Low marginal price per included transcription hour
- Speaker detection and an audio-linked editor support practical corrections
- Offers both caption formats and structured or web-ready exports
- Hosted pages and RSS metadata reduce the work required to distribute a transcript
- Manual upload keeps publishers free to use another transcription provider
- Transcript text can improve accessibility, searchability, quotation, and content reuse when carefully edited
What to consider
- Not sold as a standalone transcription tool; a paid Transistor hosting plan is required
- Transcription is an additional recurring charge on top of hosting
- Credits are minute-based, and reprocessing an episode consumes more credits
- AI transcription is not fully accurate and requires manual correction
- Speaker diarization can fail during interruptions, crosstalk, similar voices, or poor recordings
- Names, numbers, accents, specialized terms, and multilingual code-switching are common error points
- Publishing an unreviewed transcript can create accessibility problems, false quotations, reputational harm, or misinformation
- The feature sends episode audio to Deepgram for processing, adding another service to the data flow
- Public transcript pages may expose comments or personal information that an editor would have removed from show notes
- Transistor uses US East Coast infrastructure and a global CDN and cannot restrict podcast hosting to the EU
- Transistor says it does not currently hold SOC 2 or ISO 27001 certification
- Teams handling confidential or regulated recordings should obtain current data-processing, retention, subprocessors, and security terms rather than relying only on general marketing pages
- A transcript can help search engines understand an episode, but raw or repetitive machine text is not a substitute for a useful, edited page
Compare
Transistor AI Transcription alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Content Creator
Descript
Choose Descript when transcript-based audio and video editing, recording, and broader production tools matter more than an integrated hosting add-on.
Explore Descript →Content Creator
Riverside
Choose Riverside when high-quality remote recording and an end-to-end studio workflow are the primary requirements.
Explore Riverside →Project Management
Otter.ai
Choose Otter.ai for meeting-oriented live notes and collaboration rather than podcast hosting and RSS transcript delivery.
Explore Otter.ai →Questions
Transistor AI Transcription FAQs
What is Transistor AI Transcription?
It is an optional add-on inside Transistor's podcast-hosting service that converts episode audio into editable, speaker-labeled text.
Can I use it without Transistor podcast hosting?
No. It is designed for episodes in a Transistor account and requires a base hosting subscription after the trial.
How much does Transistor transcription cost?
On September 1, 2026, it cost $5 per month for 300 minutes or $20 per month for 1,200 minutes, in addition to hosting, which started at $19 per month.
Is there a free trial?
Transistor says eligible accounts receive 60 transcription credits, enough to test up to one hour of audio. The hosting service separately offers a 14-day trial.
How accurate is the transcript?
Transistor explicitly says it is not 100% accurate. Quality depends on the recording, speakers, language, accent, crosstalk, names, and subject matter, so every public transcript needs review against the audio.
Which formats can I download?
The feature outputs SRT, VTT, JSON, HTML, and TXT. These cover common caption, structured-data, web, and plain-text uses.
Does it identify speakers?
It attempts automatic speaker detection. Editors can correct speaker names, split or merge paragraphs, and revise labels in the transcript editor.
Where does the transcript appear?
Transistor can publish a timestamped web page and include the transcript reference in the episode RSS feed for compatible podcast apps. Publishers can also download it for other destinations.
Can I upload a transcript from another service?
Yes. Transistor supports pasted or uploaded SRT, VTT, TXT, and JSON transcripts, so the built-in AI is optional.
Does retranscribing use more credits?
Yes. The help documentation says reprocessing a transcript consumes credits again.
Is it safe for confidential recordings?
Do not assume so from the feature page alone. Audio is hosted by Transistor and processed by Deepgram for transcription. Obtain current data-processing, retention, subprocessor, geographic, and security details before handling confidential or regulated material.
Will a transcript improve podcast SEO?
A well-edited, useful transcript can make episode content indexable and easier to navigate. Search value is not guaranteed, and a raw machine transcript should be corrected, structured, and paired with a clear episode summary.
Bottom line
Our Transistor AI Transcription verdict
Transistor AI Transcription is a strong convenience add-on for publishers already hosting on Transistor: it is inexpensive, produces useful formats, and removes several steps between episode audio and an accessible web transcript. Its main limitation is the same as every automated transcript—plausible text is not necessarily correct. Budget for editorial review, obtain consent for sensitive recordings, and test a representative hour before committing the back catalog.
Visit Transistor AI Transcription website ↗Similar Content Creator Tools
View all Content Creator AI tools →
LTX Studio
LTX Studio empowers creators with AI-driven filmmaking capabilities.
Content Quality Analyzer GPT
Evaluates website content for helpfulness, relevance, and quality.
Hook Generator GPT
Make your Twitter game go viral.
Listener.com (formerly Listener.fm)
Save time with AI-powered podcast optimization.
AI training for the future of work.
Get access to all our AI courses, hundreds of real-world AI use cases, live expert-led workshops, an exclusive network of AI early adopters, and more.
AI Courses
Get unlimited access to all of our current & upcoming industry-specific AI courses for the duration of your subscription.
Daily Guides
To keep up with the rapid pace of AI, our team publishes AI implementation guides daily. Our library contains 300+ practical use cases to automate real-world work.
Workshops
Join weekly, live, interactive sessions with industry leaders who are at the forefront of AI for hands-on implementation guidance and exclusive insights.
Community
Network with an exclusive community of AI-first professionals who are working smarter with AI. Learn how early adopters are using AI in their work and businesses.