Comparison · Head-to-head
3Play Media vs GlossCap
Two real products, two very different buyer profiles. 3Play Media is an enterprise-grade media-accessibility platform with a full captioning + subtitling + audio-description + localization pipeline, priced per minute on negotiated annual contracts. GlossCap is a focused L&D-training-video captioning tool with a glossary moat, priced as a monthly SaaS. Here is the head-to-head on five dimensions that actually matter when you're choosing.
Quick verdict
- Choose 3Play Media if: you're a higher-ed institution remediating a large lecture archive, a broadcast media operation needing 10+ caption formats including SCC/STL, an org that needs audio description and localization bundled into one vendor, or an enterprise with a formal VPAT/HECVAT procurement gate and an existing 3Play contract.
- Choose GlossCap if: you're an L&D / enablement / training-operations team publishing 10+ hours/month on a weekly cadence, your content carries technical vocabulary (product names, SDK symbols, drug names, code identifiers), you want native LMS-asset delivery into TalentLMS / Docebo / Absorb / Kaltura, and you want to sign up with a credit card today.
Side by side
| 3Play Media | GlossCap | |
|---|---|---|
| Pricing model | Per minute, volume-discounted, tiered plan | Monthly subscription, flat |
| Entry tier | Express (one-offs) or Pro (up to 10 hrs/year) | Solo, $29/mo for 5 hrs/month |
| 30 hr/mo cost (typical) | ~$360 (AI) / ~$3,150-$4,500 (human), quoted | $99 (Team) |
| Sign-up model | Sales call for Pro and Enterprise | Self-serve on all plans |
| Target buyer | Media-accessibility director · broadcast ops · higher-ed central accessibility | L&D · enablement · training operations |
| Primary AI model | 3Play's ASR stack with human-in-the-loop | OpenAI Whisper-large with glossary-biased decoding |
| Glossary | Translation profiles + glossaries (enterprise) | Notion / Confluence / Docs sync (Team+) |
| Accuracy guarantee | 99% min, 99.6% measured avg | 99%+ with glossary applied; reviewable edit UI for audit sign-off |
| Turnaround (AI) | Same-day | Minutes |
| Turnaround (human) | 2h fastest; standard 24-48h | Self-serve edit UI, immediate |
| Output formats | SRT, VTT, SCC, SMPTE-TT, STL, CAP, 10+ more | SRT, VTT (TTML on Org) |
| LMS delivery | LMS Plugin Embed (3Play-served player) | Webhook → native LMS caption assets |
| Audio description / localization | Included in product | Not offered (captioning only) |
| SSO | Enterprise | Org plan ($299/mo) |
| Compliance documentation | VPAT, HECVAT, SOC 2 — enterprise-grade | Org tier: SOC 2 attestation planned 2026-H2; EU data residency available |
Pricing verified 2026-04-24. 3Play does not publish per-minute rates on its site; figures shown are industry-typical quotes gathered from public university rate cards (e.g. Cornell IT's published 3Play rates) and third-party review sites. Your actual quote will differ.
Dimension 1 — Pricing model
The structural difference. 3Play's rate is a function of language, turnaround, AI-vs-human blend, and annual volume — all negotiated at contract signing. That model rewards predictable high-volume usage (once your volume is locked, your unit rate drops) and penalizes variable-volume or short-commitment usage.
GlossCap's rate is $99/mo for 30 hours on the Team plan, regardless of who you are or what you commit to. The advantage: you can sign up this afternoon and your first caption track is live today. The disadvantage: you pay a flat price whether you use 1 hour or 30 hours that month, so low-utilization accounts are overpaying (the Solo tier at $29 for 5 hours is the correct choice if your usage is lumpy).
For a team with consistent 10-30 hours/month of training video output, GlossCap Team is cheaper than 3Play — materially cheaper against human-reviewed tiers, somewhat cheaper against AI-only tiers, and faster to start in either case.
Dimension 2 — Glossary handling
Both products have a glossary feature. The difference is access model, source-of-truth integration, and surface-level positioning.
3Play's glossaries are real and sophisticated — they power enterprise operations at Paris-Olympics scale, with personalized translation profiles and term lists tied to the human review workflow. But the feature sits behind the enterprise tier. On Pro, you don't configure a custom glossary; you use 3Play's standard editorial pipeline. That's the right design for a white-glove service, and the wrong design for an L&D team whose terms change quarterly as the product ships.
GlossCap is glossary-first. On Solo, you paste a term list on sign-up. On Team, you link a Notion page, Confluence space, or Google Docs folder, and GlossCap reads it on a schedule. The caption model is trained-on-inference: every caption pass uses glossary-prompted Whisper-large decoding, which means "kubectl apply -f -n production" comes back verbatim, not as "cube CTL apply dash F dash N production," and "empagliflozin" stays spelled as a drug. See the worked examples on the engineering onboarding captions and medical training captions pages. The per-customer accuracy compounds — the more you caption, the better your term model gets, and that is a real switching cost against any competitor without ingestion.
Dimension 3 — Turnaround
AI-side, both tools are same-day. 3Play's ASR returns captions in hours; GlossCap's Whisper pipeline returns in minutes. Both are faster than any human reviewer can open a file.
Human-review-side, the two products take opposite positions. 3Play's human-in-the-loop is their competitive moat: a trained transcriber or linguist opens your file, reviews it, returns a 99.6% accurate track, and the turnaround is 2h at the fast tier or 24-48h at the standard tier. The premium you pay is for that human's time and expertise, which matters when you need a court-admissible or broadcast-grade product.
GlossCap's human-review step is you, in a reviewable edit UI, right after the AI pass. Typical reviewer time for a 20-minute training video is 5-8 minutes, because the glossary-aware AI output already has your vocabulary correct — you're reviewing content for context ("did the speaker actually say 'quarterly' or 'partially'?"), not re-spelling your product name for the twentieth time. The UI logs who approved each track, which becomes your audit trail without a third party.
Dimension 4 — WCAG 2.1 AA audit posture
Both products can produce WCAG 2.1 AA-compliant captions. The difference is what an auditor sees when they ask "walk me through your caption workflow."
With 3Play: caption tracks carry 3Play's accuracy-guarantee SLA. If an auditor sampled a track and found error clusters, 3Play's process-standard is a fix-and-resend inside the SLA. That's how enterprise accessibility audits have been run for a decade.
With GlossCap: every caption track has a timestamped reviewer-approved state in the edit UI. When your auditor opens your asset register, each video has a caption track, a reviewer email, and an approval date. That's what ADA Title II and EAA investigators look for: not "were your captions perfect," but "did you have a process."
Both postures are defensible. 3Play's is better if your org's standard is "vendor accuracy SLA with remediation." GlossCap's is better if your org's standard is "internal reviewer sign-off with timestamps."
Dimension 5 — LMS integration
3Play's LMS Plugin Embed serves captions from 3Play's CDN through your LMS's video player as a plugin overlay. It is a captioning service embedded into your LMS, not captions embedded into your LMS's native asset model.
GlossCap writes caption tracks as native LMS assets via webhook. Your learners see your LMS's own caption rendering; your reporting shows the captions as part of the course asset, not as a third-party attachment.
- TalentLMS — per-unit attachment, handles multiple caption languages per unit.
- Docebo — Central Repository asset attachments; VTT preferred.
- Absorb — learner-progress-state tracking intact.
- Kaltura — REST Caption API two-call flow (create asset, upload payload), multi-language supported.
For very large catalogs where the operational question is "re-caption the whole archive in one pass," 3Play's round-trip Kaltura integration and bulk-upload pipelines will be faster than hundreds of GlossCap webhook calls. For steady-state weekly publishing, GlossCap's webhook-per-asset model is the cleaner shape.
The honest bottom line
3Play Media is the right answer when your captioning problem is "enterprise-scale media accessibility with a full content pipeline" — broadcast media, large university remediation, audio description and localization included, VPAT-and-HECVAT-grade documentation. It is a mature product at that scale and has been for a decade.
GlossCap is the right answer when your captioning problem is "weekly training video at a 50-500-employee L&D org, heavy technical vocabulary, flat price, LMS webhooks, sign up with a card." We are not the general-purpose enterprise answer; we are the L&D-specific answer. If that's you, the Team plan pays for itself against 3Play AI at about 8 hours/month and against 3Play human-reviewed at under 1 hour/month.