Should you build your own Captions?
Caption and reframe user-owned short videos with local models
A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Captions, caption and reframe user-owned short videos with local models. The hard boundary is proprietary editing models, mobile capture, avatars, cloud rendering, and creator workflow, plus models, compute, rights, and safety operations.
ENOriginal research content in English. Original prompt preserved in English.
Build a closest honest personal substitute for Captions in an empty repository.
Use Python 3.12, FastAPI, SQLite, ffmpeg, and a user-owned local TTS model; do not offer alternative stacks.
The core loop is: caption and reframe user-owned short videos using a local model, label any synthetic media clearly, and retain provenance for every output.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Require a project-level rights and consent acknowledgement before generating audio.
Ship with no celebrity, public-figure, or scraped voice assets and accept only explicitly licensed models.
Generate speech from text with voice, speed, pause, pronunciation, and segment controls.
Create a timeline for audio, captions, uploaded visuals, and simple transitions.
Embed project metadata and a visible synthetic-media disclosure in exported assets.
Store prompts, model identifiers, consent notes, and output hashes in a local provenance log.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out cloning a voice without clear consent.
Deliberately leave out impersonation or deceptive unlabeled media.
Deliberately leave out a frontier avatar model, public hosting, or enterprise rights clearance.
Finish by running the tests and listing the exact commands used.The prompt opens pre-filled in your agent. Review it before running. · this prompt is generated from the build plan · improve it via PR
What would building your own look like?
Caption and reframe user-owned short videos using a local model, label any synthetic media clearly, and retain provenance for every output.
What you will need
- local TTS model
- ffmpeg
- GPU recommended
- voices the user has rights and consent to use
People still pay for Captions because customers pay for output quality, production speed, licensed voices, consent workflows, and a provider that carries the operational risk. The recurring cost buys model licensing, consent records, impersonation risk, watermarking, GPU queues, media storage, abuse response, and rapid model changes, not just the visible interface.
xproprietary editing models, mobile capture, avatars, cloud rendering, and creator workflow
xfrontier voice or avatar model
xlicensed voice catalog
xreal-time rendering fleet
xmoderation, consent verification, and enterprise rights
How much does Captions cost?
- Monthly billing
- $24.99/mo$24.99/mo
- Per year
- $300/yr$300/yr
- On a Brazilian card, with 3.5% IOF
- R$131/moR$1,567/yr
Saved to My list. You will see a notice on this site when the price changes.
You complete the purchase on Captions’s site. Vibe Radar does not handle payments.
| Plan | Monthly | Annual (per month) | What is included |
|---|---|---|---|
| free | $0 | $0 | 0 AI-usage credits; 1 caption template; basic editing/captions in 100+ languages. |
| max | $24.99≈ $24.99 | - | 500 AI credits/month. |
| scale 1x | $69.99≈ $69.99 | - | 1,400 AI credits/month. |
| scale 2x | $139.99≈ $140 | - | 2,800 AI credits/month. |
| scale 4x | $279.99≈ $280 | - | 5,600 AI credits/month. |
| enterprise | custom | - | Custom seats, credit volume, and bulk discount. |
Free tier0 AI credits; 1 caption template; basic editing/captions in 100+ languages
Billing termsmonthly + annual; annual plans are prepaid for 12 months, but exact effective prices are not publicly exposed
Additional costsUnused paid credits roll over only until the balance reaches 3× the monthly allowance. Upgrades are prorated; downgrades apply at cycle end. Web/Android pricing can differ from the published iOS figures.
verified 2026-08-12 · source ↗
Is it cheaper to build or buy Captions?
Adjust the numbers: hours to build, your hourly rate, running costs and the subscription price.
Over 24 months, subscribing is cheaper.
Starting hours estimated from the analysis (closest consolation build: one sitting). Does not price what you give up (support, integrations, security).
Can I rebuild Captions?
Not really. Captions’s value is not the code: Recheck price before merge. See the honest breakdown above.
How much does Captions cost?
Captions costs about $24.99/mo (Max, checked 10/20/2026), which is $300 per year.
What do I lose by replacing Captions?
Honestly: proprietary editing models, mobile capture, avatars, cloud rendering, and creator workflow; frontier voice or avatar model; licensed voice catalog; real-time rendering fleet; moderation, consent verification, and enterprise rights. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to Captions?
Yes: Piper (Active community continuation of the fast local Piper text-to-speech engine.). Using prior art is also vibecoding; the prompt is for when you want it exactly your way.