Jotr5.0 out of 5 stars |
ToTextLovelace Loom
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Jotr:
About
Jotr is a local-first transcription app for Mac. Everything runs entirely on your device using Apple Silicon — no audio is ever uploaded, no account is required, and your recordings never leave your Mac.
Drop in any audio or video file and get a raw transcript, a cleaned-up checked version, or a structured summary — all processed locally. Jotr supports MP3, MP4, MOV, M4A, WAV and more. Export to TXT, SRT, VTT, Markdown, or Word. Timestamp-linked playback lets you click any line to jump to that moment in the recording.
Designed for meetings, lectures, interviews, podcasts, and video workflows. Free to use for transcription. One-time purchase unlocks local AI summaries and advanced exports. Requires macOS 15 or later on Apple Silicon.
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ToText:
About
ToText by Lovelace Loom turns recordings into AI transcripts with speaker labels in 60 languages, plus AI summaries. Ask questions about any recording and get answers that jump to the exact timestamp. Works on iPhone, iPad and Mac (Apple silicon), and is also available in ChatGPT. Not affiliated with the ToText - Free Speech to Text dictation app by Absoluit.
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Jotr:
Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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ToText:
Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Not Supported
Chromebook
Not Supported
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Jotr:
Audience
Privacy-conscious professionals, content creators, journalists, researchers, students, and Mac users who handle sensitive audio and need offline transcription.
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ToText:
Audience
Students, researchers, journalists, and professionals who record lectures, interviews, and meetings.
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Jotr:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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ToText:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Jotr:
API
Offers API
Supported
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ToText:
API
Offers API
Not Supported
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Jotr:
Screenshots and Videos |
ToText:
Screenshots and Videos |
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Jotr:
Pricing
$0
Free Version
Supported
Free Trial
Supported
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ToText:
Pricing
Free
Freemium. Free to download, with in-app purchases available.
Free Version
Supported
Free Trial
Not Supported
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Jotr:
Reviews/
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ToText:
Reviews/
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Jotr:
Pros & Cons from Real UsersPros
Cons
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Jotr:
Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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ToText:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Jotr:
Company InformationJotr
Founded: 2025
United States
jotr.ai/
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ToText:
Company InformationLovelace Loom
Israel
www.lovelaceloom.com/totext/
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Jotr:
Alternatives |
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Alternatives |
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Jotr:
Categories |
ToText:
Categories |
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Jotr:
Transcription Features
AI / Machine Learning
Supported
Annotations
Supported
Audio/Video File Upload
Supported
Automatic Transcription
Supported
Collaboration Tools
Supported
File Sharing
Supported
For Manual Transcription
Supported
Full Text Search
Supported
Multi-Language Support
Supported
Natural Language Processing (NLP)
Supported
Playback Controls
Supported
Speech Recognition
Supported
Subtitles
Supported
Text Editor
Supported
Timecoding
Supported
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ToText:
Transcription Features
AI / Machine Learning
Supported
Annotations
Not Supported
Audio/Video File Upload
Supported
Automatic Transcription
Supported
Collaboration Tools
Not Supported
File Sharing
Not Supported
For Manual Transcription
Not Supported
Full Text Search
Supported
Multi-Language Support
Supported
Natural Language Processing (NLP)
Supported
Playback Controls
Supported
Speech Recognition
Supported
Subtitles
Not Supported
Text Editor
Supported
Timecoding
Supported
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Jotr:
Integrations
Apple Mail
Not Supported
Apple Notes
Not Supported
ChatGPT
Not Supported
WhatsApp
Not Supported
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ToText:
Integrations
Apple Mail
Supported
Apple Notes
Supported
ChatGPT
Supported
WhatsApp
Supported
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Jotr:
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ToText:
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