# TikTok AI Transcript Extractor (`dev00/tiktok-transcript-api`) Actor Extract structured timestamped transcripts from TikTok URLs using AI speech-to-text. - **URL**: https://apify.com/dev00/tiktok-transcript-api.md - **Developed by:** [dev00](https://apify.com/dev00) (community) - **Categories:** Social media, Videos - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $20.00 / 1,000 successful ai transcriptions This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## TikTok AI Transcript Extractor (Speech-to-Text & Timestamps) Extract complete, structured transcripts from TikTok video URLs using high-performance AI speech-to-text. This Actor reverse-engineers advanced Automated Speech Recognition (ASR) pipelines to process video audio tracks, returning clean sentence-level paragraphs with exact millisecond timestamps. Perfect for content repurposing, video summarization, automatic captioning/subtitles, social media monitoring, SEO search indexing, and LLM-ready text processing. --- ### ⚡ Key Features 1. **High-Fidelity AI Transcription:** Decodes audio tracks and converts spoken words into highly accurate text. Automatically detects spoken languages (English, Spanish, French, German, etc.). 2. **Sentence-Level Timestamps:** Splits transcripts into natural sentences with exact start times (`start_time_ms`), end times (`end_time_ms`), and calculated durations (`duration_seconds`) so you can align captions instantly. 3. **Enterprise Reliability:** Bypasses TikTok WAF challenge screens, stream restrictions, and network blocks. 4. **Clean JSON Format:** Filters out large, redundant trace files to present a structured payload containing only the metadata, title, duration, and transcript arrays. --- ### 📥 Input Parameter Schema * `url` (string, required): The target TikTok video URL to transcribe (e.g. `https://www.tiktok.com/@thrivetide/video/7281577182491725057`). --- ### 📤 Output Dataset Example (JSON) When execution completes, each record is saved to the default Apify Dataset in the following format: ```json { "status": "success", "video_title": "Do you have a gun? #podcast #podcastclips #women #donaldtrump #gunper...", "duration": 21, "language": "en", "transcription": { "full_text": "But do you have a gun? I have the license to have a gun. Yes, I do. Do you own one? Yes, I do. Do you use it? Gun range? It's none of your business. It's really none of your business. I have a license to have a gun. Gun control. What is, what are you talking about? Stronger background. Stronger background checks. Yes, I have a gun. And yes, I have a permit to have a gun.", "sentences": [ { "text": "But do you have a gun?", "start_time_ms": 0, "end_time_ms": 1380, "duration_ms": 1380, "duration_seconds": 1.38 }, { "text": "I have the license to have a gun.", "start_time_ms": 1380, "end_time_ms": 3560, "duration_ms": 2180, "duration_seconds": 2.18 }, { "text": "Yes, I do.", "start_time_ms": 3560, "end_time_ms": 4160, "duration_ms": 600, "duration_seconds": 0.6 }, { "text": "Do you own one?", "start_time_ms": 4160, "end_time_ms": 5060, "duration_ms": 900, "duration_seconds": 0.9 }, { "text": "Yes, I do.", "start_time_ms": 5060, "end_time_ms": 6000, "duration_ms": 940, "duration_seconds": 0.94 }, { "text": "Do you use it?", "start_time_ms": 6000, "end_time_ms": 7280, "duration_ms": 1280, "duration_seconds": 1.28 }, { "text": "Gun range?", "start_time_ms": 7280, "end_time_ms": 8380, "duration_ms": 1100, "duration_seconds": 1.1 }, { "text": "It's none of your business.", "start_time_ms": 8380, "end_time_ms": 9500, "duration_ms": 1120, "duration_seconds": 1.12 }, { "text": "It's really none of your business.", "start_time_ms": 9500, "end_time_ms": 11160, "duration_ms": 1660, "duration_seconds": 1.66 }, { "text": "I have a license to have a gun.", "start_time_ms": 11160, "end_time_ms": 12920, "duration_ms": 1760, "duration_seconds": 1.76 }, { "text": "Gun control.", "start_time_ms": 12920, "end_time_ms": 13820, "duration_ms": 900, "duration_seconds": 0.9 }, { "text": "What is, what are you talking about?", "start_time_ms": 13820, "end_time_ms": 16059, "duration_ms": 2239, "duration_seconds": 2.24 }, { "text": "Stronger background.", "start_time_ms": 16059, "end_time_ms": 17240, "duration_ms": 1181, "duration_seconds": 1.18 }, { "text": "Stronger background checks.", "start_time_ms": 17240, "end_time_ms": 18620, "duration_ms": 1380, "duration_seconds": 1.38 }, { "text": "Yes, I have a gun.", "start_time_ms": 18620, "end_time_ms": 20000, "duration_ms": 1380, "duration_seconds": 1.38 }, { "text": "And yes, I have a permit to have a gun.", "start_time_ms": 20000, "end_time_ms": 21880, "duration_ms": 1880, "duration_seconds": 1.88 } ] } } ```` *** ### ❓ Frequently Asked Questions (FAQ) **Q1: How long does the transcription process take?** A1: The extraction and AI speech-to-text transcription process typically takes between 30 to 90 seconds, depending on the video's length and current server load. **Q2: How does the API prevent connection timeouts?** A2: We use an HTTP connection keep-alive streaming system. The API immediately returns a 200 OK status and streams space characters (` `) every 3 seconds to keep the socket alive. Once transcription finishes, the clean JSON payload is outputted at the end of the stream. Standard JSON parsers automatically ignore leading whitespace. **Q3: Does the API support multiple languages?** A3: Yes! The ASR transcription engine automatically detects the language spoken in the video (English, Spanish, French, German, Arabic, etc.) and processes it with high accuracy. **Q4: Do I need personal credentials or TikTok cookies to run searches?** A4: No. The API operates fully autonomously. It bypasses WAF blocks and handles TikTok stream retrieval internally, requiring only a video URL. **Q5: Can I paginate or request specific segments?** A5: The API returns the full transcript segmented into individual sentences with exact timestamps, allowing you to easily index or slice specific segments on your client side. *** ### 🏷️ Keywords: `tiktok transcript api`, `tiktok subtitles scraper`, `video audio transcriber`, `tiktok caption downloader`, `speech to text api`, `social video text extractor`, `content repurposing tool`, `podcast transcription api`. # Actor input Schema ## `url` (type: `string`): TikTok video URL to transcribe (e.g. https://www.tiktok.com/@thrivetide/video/7281577182491725057). ## Actor input object example ```json { "url": "https://www.tiktok.com/@thrivetide/video/7281577182491725057" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": "https://www.tiktok.com/@thrivetide/video/7281577182491725057" }; // Run the Actor and wait for it to finish const run = await client.actor("dev00/tiktok-transcript-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "url": "https://www.tiktok.com/@thrivetide/video/7281577182491725057" } # Run the Actor and wait for it to finish run = client.actor("dev00/tiktok-transcript-api").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": "https://www.tiktok.com/@thrivetide/video/7281577182491725057" }' | apify call dev00/tiktok-transcript-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dev00/tiktok-transcript-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok AI Transcript Extractor", "description": "Extract structured timestamped transcripts from TikTok URLs using AI speech-to-text.", "version": "1.0", "x-build-id": "7o0Ka8BWNMiJ4jIAi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dev00~tiktok-transcript-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dev00-tiktok-transcript-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dev00~tiktok-transcript-api/runs": { "post": { "operationId": "runs-sync-dev00-tiktok-transcript-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dev00~tiktok-transcript-api/run-sync": { "post": { "operationId": "run-sync-dev00-tiktok-transcript-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "url" ], "properties": { "url": { "title": "TikTok Video URL", "type": "string", "description": "TikTok video URL to transcribe (e.g. https://www.tiktok.com/@thrivetide/video/7281577182491725057)." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```