Transistor.fm: AI Transcripts for Podcasts  ## Metadata - Author: [[Podcast Setup Newsletter]] - Full Title: Transistor.fm: AI Transcripts for Podcasts - Category: #articles - Document Note: --- tags: [Podcasting, AI-Transcription, Workflow] author: "[MISSING]" source: YouTube reference: [https://www.youtube.com/watch?v=qTjRtUlJeTw] date created: {{date:YYYY-MM-DD}} {{time:HH:mm}} --- # 🏷️ Title: Transistor.fm: AI Transcripts for Podcasts ## 🧰 Action Inbox - [H1] Publish quick-start for enabling Transistor transcripts — context/https://www.youtube.com/watch?v=qTjRtUlJeTw&t=2 #articleseed - [H2] Document in-app editing workflow and speaker labeling — context/https://www.youtube.com/watch?v=qTjRtUlJeTw&t=95 #xref - [H3] Create checklist for transcript QA fixes — context/https://www.youtube.com/watch?v=qTjRtUlJeTw&t=153 #articleseed - [H4] Draft SOP for team-based transcript roles — context/https://www.youtube.com/watch?v=qTjRtUlJeTw&t=182 #xref - [H5] Compare Transistor vs. Descript/Riverside handoffs — context/https://www.youtube.com/watch?v=qTjRtUlJeTw&t=28 #articleseed - [H6] Add pricing note with audit date — context/https://www.youtube.com/watch?v=qTjRtUlJeTw&t=216 #addendum - [H7] Propose WordPress plugin docs section on transcripts — context/https://www.youtube.com/watch?v=qTjRtUlJeTw #share - [H8] Write aphorism: “Automation drafts; editors finish.” — context/https://www.youtube.com/watch?v=qTjRtUlJeTw #aphorisms ## 🧭 Table of Contents - [📝 Summary](#-summary) - [📖 Main Content](#-main-content) - [🗒️ Notes](#️-notes) - [📚 References](#-references) - [🗣️ Paraphrase](#️-paraphrase) - [📰 Newsletter](#-newsletter) - [✅ Action Items](#-action-items) - [🧪 Hypotheses](#-hypotheses) - [📊 Methodology](#-methodology) - [❓ Questions](#-questions) - [🔮 Future Research](#-future-research) - [💡 Implications](#-implications) - [🧠 Learning Styles Assessment](#-learning-styles-assessment) - [📊 Accessibility Assessment](#-accessibility-assessment) - [🌍 DEIB Assessment](#-deib-assessment) - [✅ Logical Validity](#-logical-validity) - [🛡️ DARVO Analysis](#-darvo-analysis) - [🎯 Conclusion](#-conclusion) ### 🔗 References - Video: Transistor.fm — AI Transcripts for Podcasts — https://www.youtube.com/watch?v=qTjRtUlJeTw - Transistor.fm — https://transistor.fm/ - Transistor podcast transcripts feature — https://transistor.fm/podcast-transcripts/ *(If page changes, see video reference.)* - Descript — https://www.descript.com/ - Riverside — https://riverside.fm/ - Crew Collective Podcast — https://crewcollectivepodcast.com/ ## 📝 Summary - The video demonstrates Transistor’s AI transcript add-on. - It automates transcript creation inside the hosting platform. - Creators, editors, and podcast teams benefit from faster edits. - Risks include transcription errors and unclear pricing changes. - Bottom line: automation saves time, but human QA still matters. ## 📖 Main Content - Transistor generates transcripts directly for each episode. - Users can upload a file or use automated transcription. - The interface supports speaker labeling and paragraph edits. - Teams can share transcript duties using built-in roles. - The host states tiered pricing for transcript hours. - Evidence remains anecdotal; no WER metrics appear. - Compare with Descript and Riverside for alternatives. - Keep an audit trail when changing speaker names. - Publish a QA checklist to reduce copy errors. ### 🗒️ Notes #### ⏱️ [00:02](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=2) Feature overview ### [H1] Transistor provides automated AI transcripts > [!quote] [Transistor.fm: AI Transcripts for Podcasts](https://www.youtube.com/watch?v=qTjRtUlJeTw) by an unnamed author via [[YouTube]]. Published [MISSING]. Accessed {{date:YYYY-MM-DD}}. > “Transistors transcription features uh powered by AI but with some really nice fine touches” Automated creation lowers manual effort and speeds publishing. [view highlight](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=2) #articleseed ID:rw_vid_002 #### ⏱️ [00:28](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=28) Setup and automation ### [H2] Transcripts run inside Transistor, not third-party > [!quote] [Transistor.fm: AI Transcripts for Podcasts](https://www.youtube.com/watch?v=qTjRtUlJeTw) > “having Transistor to just do the transcriptions… not having to copy, paste, and upload files” In-app processing reduces tool switching and errors. [view highlight](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=28) #xref ID:rw_vid_028 #### ⏱️ [01:22](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=82) Auto vs. manual ### [H3] Episodes can use auto or uploaded transcripts > [!quote] [Transistor.fm: AI Transcripts for Podcasts](https://www.youtube.com/watch?v=qTjRtUlJeTw) > “You can upload your own file… this episode was auto transcribed with AI.” Dual paths support different production workflows. [view highlight](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=82) #articleseed ID:rw_vid_082 #### ⏱️ [01:35](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=95) Speaker labeling ### [H4] Interface supports speaker identification and edits > [!quote] [Transistor.fm: AI Transcripts for Podcasts](https://www.youtube.com/watch?v=qTjRtUlJeTw) > “it did a great job voice identifying… Click the speaker name to edit.” Fast relabeling strengthens clarity and search. [view highlight](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=95) #xref ID:rw_vid_095 #### ⏱️ [02:04](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=124) Editing tools ### [H5] Users edit words, split paragraphs, and delete sections > [!quote] [Transistor.fm: AI Transcripts for Podcasts](https://www.youtube.com/watch?v=qTjRtUlJeTw) > “I can click in to edit a word. I can split the paragraphs.” Granular edits enable quick fixes without exports. [view highlight](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=124) #articleseed ID:rw_vid_124 #### ⏱️ [03:00](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=180) Team roles ### [H6] Teams can manage transcripts collaboratively > [!quote] [Transistor.fm: AI Transcripts for Podcasts](https://www.youtube.com/watch?v=qTjRtUlJeTw) > “you can add teams to a podcast… they could log into Transistor and edit” Role-based access supports distributed production work. [view highlight](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=180) #xref ID:rw_vid_180 #### ⏱️ [03:16](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=196) Pricing tiers ### [H7] Host states per-hour pricing by monthly tiers > [!quote] [Transistor.fm: AI Transcripts for Podcasts](https://www.youtube.com/watch?v=qTjRtUlJeTw) > “$5 a month extra for up to 5 hours… 20 for 20 hours, and 40 for 40 hours.” Treat as indicative; verify on Transistor’s site. [view highlight](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=196) #addendum ID:rw_vid_196 #### ⏱️ [03:36](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=216) Affiliate note ### [H8] Video includes affiliate link disclosure > [!quote] [Transistor.fm: AI Transcripts for Podcasts](https://www.youtube.com/watch?v=qTjRtUlJeTw) > “It’s an affiliate link. Helps the channel. You don’t have to use it.” Consider potential bias when evaluating claims. [view highlight](https://www.youtube.com/watch?v=qTjRtUlJeTw&t=216) #xref ID:rw_vid_216 ## 📚 References - Transistor feature overview — https://transistor.fm/podcast-transcripts/ - Transistor pricing page — https://transistor.fm/pricing/ *(If pricing differs from video, prefer site data.)* - Descript transcripts — https://www.descript.com/transcription - Riverside transcripts — https://riverside.fm/features/transcriptions - Crew Collective Podcast — https://crewcollectivepodcast.com/ ## 🗣️ Paraphrase - Transistor automates transcripts and enables quick in-app edits. - Teams can collaborate on labeling and corrections with minimal overhead. ## 📰 Newsletter - Transistor now ships AI transcripts inside the host UI. - You can fix names, split paragraphs, and assign speakers fast. - Teams can share transcript work without exporting files. - Pricing appears tiered; confirm on Transistor’s site. - Link roundup: Transistor, Descript, and Riverside comparisons. ## ✅ Action Items #### DevRel - Record a 3-minute “edit a transcript” demo with captions. - Publish a guide on speaker-label best practices for hosts. - Share a prompt-free workflow since edits happen in-app. - Track time saved versu - Summary: In this video, Matt Medeiros from ThePodcastSetup.com dives into Transistor.fm’s AI-powered transcription feature — a powerful tool for podcasters who want accurate, editable transcripts without the hassle of third-party uploads. Transistor’s transcription add-on costs just $5/month for up to 5 hours of audio, with higher tiers available — a small investment for a major productivity boost. Links Get started with Transistor https://transistor.fm/?via=podcastsetup https://crewcollectivepodcast.com https://thepodcastsetup.com Chapters 00:00 Introduction to Transistor’s AI transcription 00:42 Why automated transcripts save time 01:25 Comparing Transistor to Descript and Riverside 02:10 Inside the Transistor interface 03:05 Editing speaker names and dialogue 04:15 Fixing transcript errors manually 05:20 Playback synced with transcript view 06:00 Team collaboration on transcripts 07:00 Pricing for Transistor’s transcription add-on 07:45 Affiliate link and closing thoughts - URL: https://www.youtube.com/watch?v=qTjRtUlJeTw Hey, it's Matt from the podcastsetup.com. I wanted to show youTransistor's transcription features,powered by AI, but with some really nicefine touches that I think make it areal treat to use. I would enable itif you have a Transistor account tostart using transcripts. A fantasticadvantage of transcripts, of course, isthat it’s automated; it’sdone for you right here in Transistor. So you don’t have to take it from thatthird party. Even though a lot of placeslike Riverside and Descript have it, oftenif you're working with a team ofpeople and maybe you’re producing itwith a small team, havingTransistor do the transcriptionsfor you, without having to copy, paste, andupload files, is a nice little timesaver. But I’ll show you in a minute their userinterface and how well it works. Theirautomated feature is Chef’s Kiss.By the way, if you likespace and storytelling, you might likeour podcast. Go tocrewcollectivepodcast.comso you can listen to the episodes thatI’m actually showing you thetranscriptions of today. I launched this podcast, and I was like,"Oh, you know, we’re not usingDscript to edit this particular show, orRiverside, and where are we going to getthese transcripts from?" Transistor tothe rescue. If I go into an episode, Ijust want to show you down below. Youcan upload your own file for yourtranscript, but as you see here, thisepisode was auto-transcribed with AI. That’s because of Transistor's featureset. And when you click manage yourtranscription, they just do a really,really good job. They did a greatjob identifying the speaker based on the audio file.And you’ll see here it says there are oneunidentified speaker. Click the speakername to edit, and it just takes me rightto it if I click it, which is great. Andthis right here, this speaker 7 isactually me. It’s my ad read. And Stuartnever says my name; I never say my namein this ad read. So I’m just going toclick into it and type "Matt." And you’llsee it automatically adjust the other,the speaker 7 that was there orwhatever it said before. And it’s justnice and easy. And I can see all of thestuff, all the transcript right here. In this dialogue box. Of course, this isjust a short 13-minute episode. Um, Ican click in to edit a word. I can splitthe paragraphs. I can edit this ordelete this entire section if I want.They did a really great job at managingthe transcript after the fact. So, AI isnot going to get it 100% right. So, ifyou have to go in and change a number,change somebody's last name orsomebody's name or just a misidentifiedword, you can go in here and do that. And it's just so easy. So, I'm justgoing to hit save changes. That's goingto save the name that I put in, which ismyself, down at the bottom. And you canplay the episode and it'll go rightthrough the transcript right after. So,again, another advantage to usingTransistor is you can add teams to apodcast. So, somebody can come in, I canadd them as a member, and if I havesomebody on the team that's just fortranscripts, they could log intoTransistor and edit that transcript.Then, you know, I'm off to the racesdoing the rest of the stuff that I do.So, nice touch, great interface, and ifyou want to use Transistortranscripts by AI, it's Transistor. Transcripts. It's really hard for me tosay; you do have to add it as a monthlyadd-on to your account: $5 a month extrafor up to 5 hours monthly, $20 a monthextra for 20 hours, and $40 for 40 hours.Uh, so about a dollar an hour for thatnice little feature. Check it out atTransistor. You can click the link belowto access and sign up for Transistorif you've never done it before. It's anaffiliate link. It helps the channel. Youdon't have to use it if you don't wantto, but I'd love for you to check outTransistor at transistor.fm. Thanks forwatching the podcast setup. If you liketoday's video, thumbs up, subscribe tothe channel, leave a comment below, andI'll see you in the next., Transistor.fm: AI Transcripts for Podcasts, Podcast Setup Newsletter, 01k81cawa2yadcbqqaxed0sam9.