Adobe Podcast: A web-based Adobe studio that records and transcribes audio, then lets you edit it by editing the transcript text. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Adobe Podcast when transcribing a recorded interview or conversation and editing it down by editing the text matters most, and aTrain when universities and public bodies needing gdpr-friendly local transcription matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
A web-based Adobe studio that records and transcribes audio, then lets you edit it by editing the transcript text.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Adobe Podcast is a browser-based audio recording, transcription, and editing tool from Adobe. Its Studio records high-quality audio solo or with remote guests, capturing each participant as an individual track, then transcribes every word using the same transcription engine as Adobe Premiere Pro. The result is a text-based editing workflow: once a recording is transcribed, you cut, copy, paste, and delete words in the transcript and the corresponding audio (or video) is edited to match, so you edit sound like a document. It supports speaker detection to automatically label different speakers in the transcript. Beyond editing, it includes Enhance Speech to remove background noise and echo, and Mic Check, an AI analysis that diagnoses microphone problems before recording. It is aimed primarily at podcasters and creators producing spoken-word audio and video, but its transcription, speaker labeling, and voice-to-text capabilities make it usable for turning any recorded conversation into editable text. Adobe Podcast runs in the browser, with full Studio recording and editing officially supported in desktop Google Chrome.
Best suited for
aTrain is a free, open-source desktop application for offline speech transcription, developed by researchers at the Business Analytics and Data Science Center of the University of Graz in Austria. It provides a graphical interface around OpenAI's Whisper model (via the faster-whisper implementation) so users with no programming experience can transcribe recorded meetings, interviews, lectures, and other audio. Because all processing happens locally on the user's own computer, no audio or text is uploaded to any server, which makes it well suited to privacy-sensitive and GDPR-conscious environments such as universities, public institutions, and research teams. aTrain supports a wide range of languages and adds speaker detection through pyannote.audio so contributions from different participants can be separated. Transcripts can be exported in formats compatible with qualitative-analysis software such as MAXQDA, ATLAS.ti, and NVivo. It runs on Windows (including a Microsoft Store distribution) with GPU acceleration on NVIDIA hardware, and is distributed under the AGPL-3.0 license. It is best for researchers, academics, and organizations that need accurate, local, no-cloud transcription of recorded conversations. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Adobe Podcast is a free tier with paid upgrades (freemium); aTrain is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Adobe Podcast | aTrain |
|---|---|---|
| Core capability | Word-for-word transcription using the same engine as Adobe Premiere Pro | Offline, fully local transcription with no data leaving the device |
| Standout feature | Text-based audio/video editing: delete transcript text to cut the corresponding media | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Speaker detection to automatically identify and label speakers in the transcript | Speaker detection/diarization using pyannote.audio |
| Integrations | Studio recording of solo or remote-guest sessions with each participant on a separate track | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Enhance Speech to remove background noise and echo from voice recordings | Graphical interface requiring no programming skills |
| Best-fit workflow | Mic Check AI analysis to diagnose microphone issues before recording | NVIDIA GPU acceleration support |
Adobe Podcast
Choose Adobe Podcast if you need transcribing a recorded interview or conversation and editing it down by editing the text — strengths include transcript-driven editing makes cutting and rearranging spoken audio fast and intuitive.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Adobe Podcast
aTrain
It depends on your workflow. Adobe Podcast is strong for transcribing a recorded interview or conversation and editing it down by editing the text, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
Adobe Podcast is a free tier with paid upgrades and aTrain is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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