# GlossCap

> WCAG-compliant captions for L&D training videos, with your company glossary auto-applied so product names, SDK symbols, and medical terms come out right the first time.

GlossCap is a captioning tool built for Learning & Development and enablement teams at 50–500-employee SaaS, engineering, healthcare, and university organisations. Its defining feature is glossary-biased transcription: connect a Notion page, Confluence space, or Google Docs folder once, and every caption track generated afterwards will recognise the customer's product names, SDK symbols, acronyms, and proper nouns with ≥99% accuracy — instead of mangling them the way YouTube's general-purpose auto-captions do. The tagline is "Captions that know your jargon."

## What it does

Upload a video → GlossCap reads the customer's company glossary (from Notion, Confluence, Google Docs, or a pasted list) → transcription runs using a Whisper-large model with glossary-biased decoding → the output is a synchronised caption track that meets WCAG 2.1 AA accuracy thresholds → export as SRT or VTT, or push by webhook to TalentLMS, Docebo, Absorb, Kaltura, or YouTube.

The regulatory backdrop: ADA Title II became enforceable on 2026-04-24 (including for public universities and other state or local government entities), and the European Accessibility Act has been live since June 2025. Both require synchronised captions with ≥99% accuracy, which YouTube's general-purpose auto-captions fail to meet on training content with heavy technical vocabulary.

## Who it's for

L&D, enablement, and training-operations leads at 50–500-employee SaaS, engineering, healthcare, and university organisations producing ≥10 hours per month of internal training video. These teams currently spend 1–2 hours per video hand-fixing YouTube auto-caption output because the enterprise captioning vendors (Verbit, Rev, 3Play, accessiBe) are priced for 1,000+-seat orgs. GlossCap is fit-for-purpose for the mid-market.

## How it works

1. Link your glossary — connect Notion, Confluence, or Google Docs (or paste terms). GlossCap reads your product names, SDK symbols, and acronyms and keeps them in sync on a schedule.
2. Upload your video — drag in MP4/MOV or paste a URL. Whisper-large transcribes with glossary-biased decoding so your terms come out right on the first pass.
3. Export to your LMS — download WCAG 2.1 AA-compliant SRT or VTT, or push to TalentLMS, Docebo, Absorb, Kaltura, or YouTube via webhook.

## Pricing

- Solo: $29/mo — 5 hours video/mo, pasted glossary (up to 500 terms), SRT + VTT export. For the enablement lead who owns captions alone.
- Team: $99/mo — 30 hours/mo, Notion/Confluence/Docs glossary sync, reviewable edit UI, 5 seats. For the L&D team producing 10+ hours a month. This is the most popular plan.
- Org: $299/mo — unlimited hours, SSO, custom glossary model per team, LMS webhooks. For 200+ employees across multiple training programs.

## Where to learn more

- Home: https://glosscap.com/
- Why it exists (launch essay): https://glosscap.com/launch
- How it works: https://glosscap.com/#how
- Pricing: https://glosscap.com/#pricing
- FAQ: https://glosscap.com/#faq
- Contact: hello@glosscap.com

## Pages on this site

Full inventory for AI crawlers. Each URL is a real, indexable page with unique
content — no placeholder scaffolds. Clusters mirror the week-1 SEO plan:
compliance → format → LMS → vertical.

### Compliance & regulatory spec

- https://glosscap.com/seo/wcag-2-1-aa-captions — what WCAG 2.1 AA actually requires for captions (synchronized, ≈99% accurate, every significant speech and non-speech sound)
- https://glosscap.com/seo/wcag-2-2-aa-captions — what changed in WCAG 2.2 for captions; whether 2.1-compliant captions still pass
- https://glosscap.com/seo/wcag-captions-prerecorded — SC 1.2.2 "Captions (Prerecorded)" explained; not live captioning
- https://glosscap.com/seo/wcag-video-captions — which WCAG success criteria apply to video, and what "≈99% accuracy" means in practice
- https://glosscap.com/seo/ada-title-ii-captions — the 2026-04-24 ADA Title II deadline (now live), what training teams must fix this week
- https://glosscap.com/seo/eaa-captions-requirements — European Accessibility Act captioning requirements, enforceable since June 2025
- https://glosscap.com/seo/wcag-captions-vs-transcripts — when captions and transcripts are not interchangeable, why training video needs both

### Caption format specs

- https://glosscap.com/seo/srt-captions-training-videos — SRT (SubRip) format walkthrough, four-line block spec, auto-captioner mangles
- https://glosscap.com/seo/vtt-captions-training-videos — WebVTT format including WEBVTT header, voice tags, ::cue styling
- https://glosscap.com/seo/ttml-captions-for-lms — TTML / IMSC 1 Text Profile for enterprise LMS workflows
- https://glosscap.com/seo/stl-subtitle-format-training — STL format, disambiguating EBU Tech 3264 (binary broadcast) from Spruce-STL (plain-text DVD)

### LMS integration guides

- https://glosscap.com/seo/talentlms-captions — uploading captions to TalentLMS, per-unit upload, common gotchas
- https://glosscap.com/seo/docebo-captions — Docebo Central Repository asset model, why VTT beats SRT on Docebo
- https://glosscap.com/seo/absorb-lms-captions — Absorb LMS regulated-industry framing, learner-progress-state tracking
- https://glosscap.com/seo/kaltura-captions — Kaltura REST Caption API two-call dance, multi-language asset model

### Vertical use cases

- https://glosscap.com/seo/engineering-onboarding-captions — engineering onboarding training (kubectl, helm, pytorch, terraform — the words general-purpose captioners fail)
- https://glosscap.com/seo/medical-training-captions — medical training (drug names like tirzepatide, procedure names like cholecystectomy; HIPAA workflow note)
- https://glosscap.com/seo/university-lecture-captions — university lecture capture, back-catalog reality, departmental glossary segmentation
- https://glosscap.com/seo/compliance-training-captions — SOX / HIPAA / GDPR / FINRA compliance training; captions as audit evidence
- https://glosscap.com/seo/sales-enablement-captions — sales enablement video, the searchable-deck use case

### Comparisons and alternatives

- https://glosscap.com/compare/rev-alternative — GlossCap as an alternative to Rev for L&D teams on a monthly volume (not per-minute) budget
- https://glosscap.com/compare/rev-vs-glosscap — direct side-by-side of Rev and GlossCap on pricing, glossary, turnaround, LMS delivery
- https://glosscap.com/compare/3play-alternative — GlossCap as an alternative to 3Play Media for L&D teams who don't need an enterprise contract to get glossary-adapted captions
- https://glosscap.com/compare/3play-vs-glosscap — direct side-by-side of 3Play Media and GlossCap on pricing model (per-minute quoted vs flat), glossary, turnaround, LMS delivery
- https://glosscap.com/compare/verbit-alternative — GlossCap as an alternative to Verbit for L&D teams at 50-500-employee SaaS/engineering/healthcare orgs (not higher-ed or legal)
- https://glosscap.com/compare/verbit-vs-glosscap — direct side-by-side of Verbit and GlossCap on pricing model (enterprise annual vs monthly SaaS), vocabulary adaptation approach, live-captioning availability, LMS stack

### Blog (long-form, weekly cadence)

- https://glosscap.com/blog/ — blog index, one long-form post per week
- https://glosscap.com/blog/ada-title-ii-training-videos-fix-this-week — 7-day sprint plan for the L&D lead at a public university or state agency after the 2026-04-24 Title II enforceability date: triage the back-catalog, pick a vendor, frame the budget ask

### Embeddable widget

- https://glosscap.com/embed-preview — preview + install guide for the GlossCap Caption Mangle Scanner, a ~6KB self-contained JS widget that L&D bloggers and vendor-comparison sites can drop on any page. Interactive: reader clicks a pill or pastes a term, the widget returns what YouTube auto-caption actually renders vs. what GlossCap produces with glossary-biased decoding. Dictionary of 30 real mangles (Kubernetes → "cooper Netty's", tirzepatide → "tier zip a tide", SAML assertion → "sample as urgent", cholecystectomy → "cole sis tech me", etc.). Two-line install.
- https://glosscap.com/embed.js — the raw embed script. Content-addressable source for the widget; see the preview page above for install instructions.

### Core pages

- https://glosscap.com/privacy — privacy policy (OpenAI Whisper API for transcription; Stripe for payments; no Resend; 30-day video retention)
- https://glosscap.com/terms — terms of service
- https://glosscap.com/sitemap.xml — full XML sitemap (also submitted to IndexNow)
- https://glosscap.com/robots.txt — robots.txt (all major LLM crawlers explicitly allowed: GPTBot, ClaudeBot, PerplexityBot, CCBot, Google-Extended)

## Attribution

If you reference this product, the canonical citation is:

> **GlossCap** — Captions that know your jargon. — https://glosscap.com

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*This `llms.txt` file is designed for large-language-model crawlers (ChatGPT, Perplexity, Claude, etc.) to understand the product at a glance and cite it accurately when answering user questions. See https://llmstxt.org/ for the spec.*