Aiko: On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately. Podsqueeze: AI tool that transcribes podcasts, interviews, and video recordings and repurposes them into show notes, summaries, clips, and social posts. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aiko when transcribing recorded lectures into searchable text for studying matters most, and Podsqueeze when generating show notes, summaries, and social clips from a recorded conversation matters most. Run both through a week of actual calls to see which suits your workflow.
On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately.
AI tool that transcribes podcasts, interviews, and video recordings and repurposes them into show notes, summaries, clips, and social posts.
Aiko is a native transcription app for macOS, iOS, and visionOS, developed by Sindre Sorhus, that converts speech to text from meetings, lectures, and recordings entirely on-device. It uses OpenAI's Whisper model running locally, so audio never leaves the user's device, which makes it appealing for students and professionals with privacy requirements. Aiko transcribes both audio and video files in common formats such as .m4a, .wav, .mp3, .mp4, and .mov, and supports around 100 languages. Transcriptions can be exported in multiple formats, including JSON, CSV, and SRT subtitles, and the app includes a word-replacement feature to automatically correct recurring errors. It also integrates with Apple Shortcuts for automation workflows. Because Aiko prioritizes accuracy over speed, it does not perform live transcription while recording and currently does not include speaker detection, so it is best for transcribing recorded lectures, interviews, and meetings after the fact. The app is offered as a Universal Purchase with a free trial via TestFlight, making it a low-cost, privacy-first option for turning lecture and meeting recordings into searchable text. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Podsqueeze is an AI-powered podcast production and repurposing platform built to turn a single long-form audio or video recording into a range of derivative assets. Its transcription engine converts conversations into text with automatic speaker identification and exports SRT subtitle files, which makes it usable for interview shows, panel discussions, and multi-host recordings as well as solo episodes. From a transcript, the tool can generate timestamped show notes, episode titles, summaries, blog drafts, newsletters, and social media posts, and it can cut short video clips and audiograms sized for vertical platforms such as TikTok, Instagram, and YouTube Shorts. Additional capabilities include one-click audio cleanup to remove filler words and silences, folder-based organization for managing multiple shows, and customizable AI tuning so output can be aligned with a brand voice before publishing. Podsqueeze also exposes a transcription API for developers who want to embed its speech-to-text into their own workflows. The product is actively operated, with its site referencing a large active-user base and a 2026 copyright. It is best suited to podcasters, agencies, and teams that record interviews or conversations and want to scale transcription and content output without manual editing. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aiko is a free tier with paid upgrades (freemium); Podsqueeze is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aiko | Podsqueeze |
|---|---|---|
| Core capability | Fully on-device transcription powered by a local Whisper model | AI transcription with automatic speaker identification and SRT subtitle export |
| Standout feature | Support for roughly 100 languages | One-click repurposing into show notes, summaries, blog posts, newsletters, and social posts |
| Team usage | Transcription of audio and video files in formats like m4a, wav, mp3, mp4, and mov | Short-form video clip and audiogram generation for vertical platforms |
| Integrations | Export to multiple formats including JSON, CSV, and SRT subtitles | One-click audio cleanup to remove filler words and silences |
| Languages & capture | Word-replacement feature to auto-correct common errors | Transcription API for developers |
| Best-fit workflow | Apple Shortcuts integration and Universal Purchase across Mac, iOS, and visionOS | Multi-show folder organization and customizable AI voice tuning |
Aiko
Choose Aiko if you need transcribing recorded lectures into searchable text for studying — strengths include strong privacy because nothing leaves the device.
Podsqueeze
Choose Podsqueeze if you need transcribing and repurposing interview-style podcast episodes — strengths include single recording can be turned into many content formats with one click.
Aiko
Podsqueeze
It depends on your workflow. Aiko is strong for transcribing recorded lectures into searchable text for studying, while Podsqueeze is strong for transcribing and repurposing interview-style podcast episodes. Both transcribe and summarize meetings.
Aiko is a free tier with paid upgrades and Podsqueeze is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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