Augnito: Augnito is a voice AI platform for clinical documentation, offering medical speech-to-text dictation and an ambient AI scribe that turns clinician-patient conversations into structured notes. Gling: Gling is an AI video editing tool that transcribes recordings and automatically removes silences, filler words, and bad takes so creators can edit by editing the transcript. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Augnito when clinicians dictating reports, discharge summaries, and imaging notes hands-free matters most, and Gling when cleaning up and transcribing podcast recordings before export to an audio file or nle matters most. Run both through a week of actual calls to see which suits your workflow.
Augnito is a voice AI platform for clinical documentation, offering medical speech-to-text dictation and an ambient AI scribe that turns clinician-patient conversations into structured notes.
Gling is an AI video editing tool that transcribes recordings and automatically removes silences, filler words, and bad takes so creators can edit by editing the transcript.
Augnito is a healthcare voice AI company (founded 2020, co-developed with Scribetech) focused on clinical documentation. Its two main products are Augnito Spectra, a medical speech-to-text engine for real-time dictation and voice commands, and Augnito Omni, an ambient AI scribe that captures clinician-patient conversations and structures them into EMR-ready notes such as SOAP notes. Capture is microphone-based: clinicians dictate directly, or Omni listens ambiently to natural conversation, with no voice-profile training required. The vendor states accent-agnostic recognition across 55+ clinical specialties, with Omni supporting 37+ languages. It is delivered as cloud-based SaaS and runs on desktop workstations, a mobile app, and a Chrome browser extension, with an on-premises deployment option for Spectra. Augnito integrates with third-party EMR/EHR, RIS, and PACS systems (including Epic and Cerner) without requiring native integration, and includes a Smart Editor plus customizable templates. It holds HIPAA, SOC 2 Type II, and ISO 27001 certifications. It is intended for doctors, radiologists, GPs, nurses, surgeons, and healthcare enterprises.
Best suited for
Gling is an AI-powered video editing platform built mainly for YouTubers, podcasters, and educators who record talking-head and dialogue-heavy content. It works by first transcribing the uploaded recording into searchable text, then letting users edit by trimming the transcript rather than dragging clips on a timeline. From that transcript, Gling automatically detects and removes long silences, filler words like "um" and "uh," and repeated bad takes, keeping the best delivery of each line. It also generates captions and subtitles, suggests YouTube-optimized titles, and creates chapter markers. The transcription engine supports many languages, including English, Spanish, French, German, Portuguese, Arabic, Chinese, Korean, and Japanese, and transcripts can be exported as SRT subtitle files. Finished edits export to MP4 or MP3, or as project files (XML/EDL) for Final Cut Pro, Adobe Premiere, and DaVinci Resolve. Gling is positioned as a workflow accelerator that turns raw footage into a polished cut faster than manual editing, with transcription serving as the foundation for its automated cuts.
Best suited for
Augnito is custom pricing (contact sales); Gling is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Augnito | Gling |
|---|---|---|
| Core capability | Medical speech-to-text dictation with voice commands (Augnito Spectra) | AI speech-to-text transcription of uploaded video and audio, exportable as SRT subtitles |
| Standout feature | Ambient AI scribe that structures clinician-patient conversations into notes (Augnito Omni) | Automatic removal of silences, filler words, and awkward pauses |
| Team usage | Accent-agnostic recognition with no voice-profile training, across 55+ clinical specialties | Bad-take detection that keeps the best of repeated lines |
| Integrations | Multilingual ambient capture supporting 37+ languages | Text-based editing: cut footage by editing the transcript |
| Languages & capture | Works with third-party EMR/EHR, RIS, and PACS without native integration | Auto-generated captions, YouTube titles, and chapter markers |
| Best-fit workflow | Customizable templates and SOAP-note formats with a built-in Smart Editor | Export to MP4/MP3 or project files for Final Cut Pro, Premiere, and DaVinci Resolve |
Augnito
Choose Augnito if you need clinicians dictating reports, discharge summaries, and imaging notes hands-free — strengths include specialized for healthcare with broad emr/ehr/ris/pacs compatibility and no native integration required.
Gling
Choose Gling if you need editing youtube talking-head videos by removing silences, filler words, and flubbed takes — strengths include transcript-driven editing makes cutting talking-head footage much faster than a manual timeline.
Augnito
Gling
It depends on your workflow. Augnito is strong for clinicians dictating reports, discharge summaries, and imaging notes hands-free, while Gling is strong for editing youtube talking-head videos by removing silences, filler words, and flubbed takes. Both transcribe and summarize meetings.
Augnito is custom pricing and Gling is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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