Pricing

Pay per event

Auto Caption Burner - Viral Subtitles Burned In

Captions are the #1 retention hack, and this burns them straight into your MP4. Send a video URL, get the finished video back with word-by-word animated subtitles, plus the full transcript and word timings. 5 viral presets. $0.04 per 30-second caption block, $0.08 per minute of video.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Dami's Studio

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Videos

For creators

Social media

You can access the Auto Caption Burner - Viral Subtitles Burned In programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "videoUrl": {
            "title": "Video URL",
            "type": "string",
            "description": "Public direct URL to the source video (.mp4 / .mov / .webm). You host it (S3/CDN/Drive direct link) — no scraping is performed."
          },
          "preset": {
            "title": "Caption style preset",
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            "type": "string",
            "description": "Visual style of the burned captions.",
            "default": "hormozi"
          },
          "language": {
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          },
          "allCaps": {
            "title": "ALL CAPS",
            "type": "boolean",
            "description": "Force captions to uppercase (overrides the preset)."
          },
          "fontSize": {
            "title": "Font size (px @1080 width)",
            "minimum": 24,
            "maximum": 200,
            "type": "integer",
            "description": "Override the preset font size."
          },
          "primaryColor": {
            "title": "Text color",
            "type": "string",
            "description": "Hex color of inactive words, e.g. #FFFFFF."
          },
          "highlightColor": {
            "title": "Active-word color",
            "type": "string",
            "description": "Hex color of the currently-spoken word, e.g. #FFE000."
          },
          "position": {
            "title": "Vertical position",
            "enum": [
              "top",
              "center",
              "bottom"
            ],
            "type": "string",
            "description": "Where captions sit on the frame."
          },
          "wordsPerGroup": {
            "title": "Words per line",
            "minimum": 1,
            "maximum": 8,
            "type": "integer",
            "description": "How many words show on screen at once."
          },
          "marginV": {
            "title": "Vertical margin (px)",
            "minimum": 0,
            "maximum": 1800,
            "type": "integer",
            "description": "Distance from the chosen edge, at 1920px height."
          },
          "crf": {
            "title": "Output quality (CRF)",
            "minimum": 12,
            "maximum": 30,
            "type": "integer",
            "description": "x264 CRF. Lower = higher quality/larger file. 18 = visually lossless, 23 = smaller.",
            "default": 18
          },
          "openaiApiKey": {
            "title": "OpenAI API key (BYO)",
            "type": "string",
            "description": "Your OpenAI key for Whisper transcription. Kept private. Leave empty only if the actor owner has configured a shared key."
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          "transcriptionBaseUrl": {
            "title": "Transcription base URL (advanced)",
            "type": "string",
            "description": "OpenAI-compatible base URL for transcription. Default https://api.openai.com/v1. Use to point at a proxy."
          },
          "transcriptionModel": {
            "title": "Transcription model (advanced)",
            "type": "string",
            "description": "Whisper model name. Default whisper-1.",
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Auto Caption Burner - Animated Subtitles on Video OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Auto Caption Burner - Viral Subtitles Burned In from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Auto Caption Burner - Viral Subtitles Burned In API in Python

Auto Caption Burner - Viral Subtitles Burned In API in JavaScript

Auto Caption Burner - Viral Subtitles Burned In API through CLI

Auto Caption Burner - Viral Subtitles Burned In API

YouTube Transcript Scraper — Captions & Subtitles, No API Key

herus13/youtube-transcript-scraper

Scrape YouTube video transcripts (captions/subtitles) with timestamps, plus video metadata and available caption languages. HTTP-first, fast, CSV/JSON output. No API key.

bootforge

YouTube Transcript Scraper

happy_b/youtube-transcript-scraper

Extract YouTube video transcripts with timestamps, word counts, and full video metadata.

Happy B

5.0

YouTube Transcript Scraper - Captions & Auto Subtitles

nominated_tupelo/yt-transcript-scraper

Extract transcripts and subtitles from any YouTube video. Supports auto-generated captions, manual subtitles, multiple languages, and batch video processing. No API key required.

kade

YouTube Transcript Scraper - Captions and Subtitles

gio21/youtube-transcript-scraper

Get YouTube video transcripts (captions/subtitles) by video URL or ID. Auto-detect language or pick a specific track. No API key.

Gio

YouTube Word-Level Subtitles & Timestamps

zerrouki-samir/youtube-wordlevel-transcript-1

Extract full YouTube transcripts with precise per-word timestamps. Perfect for AI video editing, CapCut-style auto-captions, NLP, semantic search, and clip generation. Supports public videos with automated JSON output.

Samir Zerrouki

YouTube Word-Level Transcript

zerrouki-samir/youtube-wordlevel-transcript

🎯 **UNPRECEDENTED WORD-LEVEL PRECISION** 🎯 Transform any YouTube video into precise transcripts with timestamps for EVERY SINGLE WORD. ✨ **Key Features:** • Word-level timestamps with millisecond accuracy • 99.9% reliability guaranteed • Structured JSON output

Samir Zerrouki

AI Faceless Video Generator — Story to Short in 1 Run

dami_studio/ai-faceless-short-generator

One input, one finished vertical video. Give it a subreddit, a story or a topic and it writes the retention script, voices it, generates cinematic AI scenes with motion, and burns word-synced captions - then hands you a ready-to-post MP4, hook and script. $0.39 per video, flat.

Dami's Studio

5.0

YouTube Transcript Scraper – Video Captions & Subtitles by URL

endspec/youtube-instant-transcript-scraper

Extract the full transcript of any YouTube video by URL or ID: timestamped caption segments plus clean, joined plain text. Batch many videos in one run. No login, no cookies, no YouTube API key. Pay only per transcript returned.

EndSpec

YouTube Transcript Scraper — $0.002 per video

devsef/youtube-transcript-scraper

Extract YouTube video transcripts and subtitles as clean structured JSON with timestamps, language info and video title. Manual and auto-generated captions, any language. Only $0.002 per transcript — the cheapest on Apify; failed videos are never charged.

Steffano van Hoven

Youtube Video Subtitles Scraper

scrapeflow/youtube-video-subtitles-scraper

YouTube Video Subtitles Scraper extracts subtitles and transcripts from public YouTube videos. Collect timestamps, captions, languages, video metadata, and transcript text for content analysis, SEO, research, accessibility, and AI training workflows.