CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. 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 CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and Gling when cleaning up and transcribing podcast recordings before export to an audio file or nle matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
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.
CallMiner is an enterprise speech and conversation analytics platform, built around its Eureka product, that captures and analyzes customer interactions across voice and digital channels. It records and transcribes calls into text, then applies acoustic and linguistic AI to surface sentiment, emotion, intent, and behavioral signals — quantifying frustration, effort, satisfaction, and confidence rather than sampling a fraction of conversations. Designed for contact centers and large enterprises, it spans modules for analysis, automated agent scoring and coaching, real-time guidance during live calls, automated redaction of sensitive data, multilingual translation, and interactive dashboards. CallMiner ingests voice, chat, email, surveys, social media, and screen recordings, applying scoring models to isolate compliance risks, fraud, quality issues, and sales outcomes. It also includes generative and agentic AI features such as automatic category creation, contact summarization, and natural-language discovery. The platform is used across healthcare, finance, retail, insurance, and BPO sectors, and was named a leader in The Forrester Wave: Conversation Intelligence Solutions for Contact Centers, Q2 2025.
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
CallMiner 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 | CallMiner | Gling |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | AI speech-to-text transcription of uploaded video and audio, exportable as SRT subtitles |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | Automatic removal of silences, filler words, and awkward pauses |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | Bad-take detection that keeps the best of repeated lines |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | Text-based editing: cut footage by editing the transcript |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | Auto-generated captions, YouTube titles, and chapter markers |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | Export to MP4/MP3 or project files for Final Cut Pro, Premiere, and DaVinci Resolve |
CallMiner
Choose CallMiner if you need contact centers monitoring agent performance and automating quality scoring and coaching — strengths include analyzes 100% of interactions rather than a sampled subset, reducing blind spots.
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.
CallMiner
Gling
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while Gling is strong for editing youtube talking-head videos by removing silences, filler words, and flubbed takes. Both transcribe and summarize meetings.
CallMiner 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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