Local summaries
Generate concise summaries from the transcript after the model is downloaded.
Local AI summaries
Turn transcripts into summaries and TODOs locally.
After transcription, HushMemo can run downloaded local models against the transcript to generate structured notes, action items, and alternate templates without relying on cloud summary credits.
TODO extraction
Pull out owners, deadlines, and next actions without rereading the whole transcript.
Multi-template output
Reuse one transcript as meeting notes, an email, a blog draft, or lecture notes.
Custom vocabulary
Preserve product names, people, medical terms, and project jargon in generated output.
Workflow
One transcript can become many outputs.
The template layer gives local AI a target structure, so the same recording can be reused for different work formats.
01
Start with transcript
Review the local transcript before generation.
02
Choose a template
Pick from meeting, writing, call, education, medical, and interview formats.
03
Generate structure
Create summary sections, key points, decisions, or TODOs.
04
Review and export
Check the output, copy it, export it, or regenerate with another template.
Boundary
Where local AI helps most.
Meetings
Summaries, decisions, action items, and follow-up drafts.
Writing
Emails, newsletters, blog posts, and polished text from spoken notes.
Education
Lecture notes and review material from class recordings.
Sensitive work
Medical and consultation drafts that still require human review.
FAQ
Questions people ask.
Do summaries run in the cloud?
HushMemo is designed around downloaded local models for summary and template workflows after setup.
Can I generate more than one template from the same recording?
Yes. The same transcript can be reused across multiple templates.
Are generated notes final?
No. Transcripts, summaries, and TODOs can contain mistakes; review them before sharing or relying on them.