# AI Text to Video Generator (`akash9078/ai-text-to-video-generator`) Actor Transform text prompts into professional AI-generated explainer videos instantly. High-quality text-to-video automation powered by NVIDIA AI and Remotion. - **URL**: https://apify.com/akash9078/ai-text-to-video-generator.md - **Developed by:** [Akash Kumar Naik](https://apify.com/akash9078) (community) - **Categories:** AI, Automation, Videos - **Stats:** 3 total users, 2 monthly users, 75.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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 ## 🎬 NVIDIA NIM + Remotion Video Generator Transform your ideas into stunning AI-powered videos with just a text prompt. This Actor combines the power of NVIDIA's NIM LLM for intelligent script generation with Remotion's professional video rendering capabilities. ### What it does 🎯 **Generate AI-powered videos from text prompts** This Actor creates professional explainer videos by: - **Understanding your topic**: Uses NVIDIA's NIM LLM to generate compelling video scripts - **Creating structured content**: Produces titles, subtitles, slides with bullet points, and call-to-action text - **Rendering high-quality videos**: Uses Remotion to render videos in multiple resolutions (480p, 720p, 1080p) - **Delivering instantly**: Uploads videos to Apify Key-Value Store with public download URLs ### How to use #### Input ```json { "prompt": "The future of AI and how it's changing our world", "quality": "medium", "outputFileName": "ai-video", "skipRender": false } ```` **Input fields:** | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `prompt` | string | ✅ Yes | - | The topic or idea for your video (max 1000 chars) | | `quality` | string | No | `medium` | Video quality: `low` (480p), `medium` (720p), or `high` (1080p) | | `outputFileName` | string | No | `ai-video` | Name for the output MP4 file (without extension) | | `skipRender` | boolean | No | `false` | Set to `true` to only generate script without rendering | #### Output The Actor outputs structured data to the default dataset: ```json { "prompt": "The future of AI and how it's changing our world", "title": "The AI Revolution", "subtitle": "Transforming Our World Through Intelligence", "slides": [ { "heading": "What is AI?", "points": [ "Artificial Intelligence simulates human thinking", "Machine learning enables pattern recognition", "Neural networks process complex data" ] }, { "heading": "Impact on Society", "points": [ "Automation transforms industries", "Healthcare becomes more precise", "Education becomes personalized" ] }, { "heading": "The Future", "points": [ "AI assistants become ubiquitous", "Creative tasks are augmented", "Ethical frameworks evolve" ] } ], "cta": "Embrace the future today", "slideCount": 3, "videoUrl": "https://api.apify.com/v2/key-value-stores/xxx/records/ai-video", "scriptKey": "video-script", "quality": "medium", "duration": 540, "durationSeconds": 18, "renderedAt": "2024-01-15T10:30:00.000Z" } ``` **Output fields:** | Field | Type | Description | |-------|------|-------------| | `prompt` | string | Original user prompt | | `title` | string | Generated video title | | `subtitle` | string | Generated subtitle | | `slides` | array | Array of slide objects with heading and points | | `cta` | string | Call-to-action text | | `slideCount` | integer | Number of slides in video | | `videoUrl` | string | Public URL to download the MP4 video | | `scriptKey` | string | Key in Key-Value Store where script is saved | | `quality` | string | Quality setting used | | `duration` | integer | Video duration in frames @ 30fps | | `durationSeconds` | integer | Video duration in seconds | | `renderedAt` | string | ISO timestamp | #### Key-Value Store Outputs The Actor saves two items to the Key-Value Store: 1. **`video-script`** - The complete generated script (JSON) 2. **`{outputFileName}`** - The rendered MP4 video file Access via API: ```bash curl "https://api.apify.com/v2/key-value-stores/{storeId}/records/{fileName}" \ -H "Authorization: Bearer {token}" ``` ### 💰 Pricing This Actor uses **Pay Per Event** pricing: | Event | Price | Description | |-------|-------|-------------| | `apify-actor-start` | $0.00005 | Actor startup (free 5s compute provided by Apify) | | `video-script-generated` | $0.05 | AI script generation with NVIDIA NIM LLM | | `video-rendered` | $0.15 | Complete video rendering (up to 3 slides) | | `slide-rendered` | $0.03 | Each additional slide beyond 3 | **Example pricing:** - 1 video with 3 slides = **$0.20** - 1 video with 5 slides = **$0.26** ($0.20 + 2×$0.03) - Script only (skipRender=true) = **$0.05** ### ⚙️ Setup Requirements #### Environment Variables Before running this Actor, set up: | Variable | Required | Description | |----------|----------|-------------| | `NVIDIA_API_KEY` | ✅ Yes | Your NVIDIA NIM API key from [NVIDIA NIM](https://build.nvidia.com/) | #### Getting NVIDIA API Key 1. Visit [build.nvidia.com](https://build.nvidia.com/) 2. Create an account or sign in 3. Navigate to the API section 4. Generate your API key 5. Copy the key to your Actor's environment variables ### 🚀 Use Cases #### Marketing & Sales - Create product explainer videos - Generate social media content - Build video ads from product descriptions - Produce pitch deck videos #### Education & Training - Convert lessons into engaging videos - Create tutorial content - Generate course previews - Build training materials #### Content Creation - Transform blog posts into videos - Create YouTube content - Generate podcast visualizations - Produce short-form social content #### Business Communication - Make internal announcements - Create company updates - Generate investor presentations - Build brand storytelling videos ### 📊 Performance | Quality | Resolution | Avg. Render Time\* | File Size | |---------|------------|-----------------|-----------| | Low | 854×480 | ~30s | ~5 MB | | Medium | 1280×720 | ~60s | ~15 MB | | High | 1920×1080 | ~120s | ~40 MB | \*Based on 3-slide video on 4GB memory **Resource Requirements:** - Minimum memory: 2GB - Recommended memory: 4GB - Maximum memory: 8GB - Timeout: 10 minutes ### 🔧 Technical Details #### How it works 1. **Input Processing**: Validates user input and sanitizes the prompt 2. **Script Generation**: Sends prompt to NVIDIA NIM (gpt-oss-20b model) with structured instructions 3. **Data Validation**: Validates and sanitizes the generated JSON script 4. **Video Rendering**: Bundles React/Remotion components and renders to MP4 5. **Output Delivery**: Uploads video to Key-Value Store and pushes metadata to Dataset #### Error Handling The Actor includes comprehensive error handling: - Input validation with clear error messages - NVIDIA API retry logic (3 attempts with exponential backoff) - JSON parsing with multiple fallback strategies - Video data validation before rendering - Detailed error logging to Key-Value Store #### Retry Behavior - **NVIDIA API**: 3 retries with exponential backoff (1s, 2s, 4s) - **Validation**: Automatic truncation for text exceeding limits - **Rendering**: Timeout protection with cleanup ### 💡 Tips & Best Practices #### Prompt Engineering **Good prompts:** - "The benefits of meditation for mental health" - "How blockchain technology is revolutionizing finance" - "10 tips for effective remote work" - "The history and future of electric vehicles" **Tips:** - Be specific about the topic - Include the target audience if relevant - Mention key points you want covered - Keep prompts under 1000 characters #### Quality Selection - **Low (480p)**: Quick previews, social stories, testing - **Medium (720p)**: Standard presentations, social media, websites - **High (1080p)**: Professional content, presentations, YouTube #### Memory Optimization - Use 2GB for script generation only (skipRender=true) - Use 4GB for standard video rendering (3-5 slides) - Use 8GB for high-quality rendering with many slides #### Cost Optimization 1. Test with `skipRender=true` first to validate scripts 2. Use `low` quality for development/testing 3. Limit slides by making prompts more focused 4. Monitor the `charging_log` dataset for usage tracking ### 🐛 Troubleshooting #### Common Issues **"NVIDIA\_API\_KEY is required"** - Check that you've set the `NVIDIA_API_KEY` environment variable - Verify the key is valid at [build.nvidia.com](https://build.nvidia.com/) **"Video rendering failed"** - Increase memory allocation (4GB recommended) - Try `low` quality setting first - Check that Remotion components are not throwing errors **"Failed to parse LLM response"** - The LLM may have returned non-JSON output - Try a simpler, more specific prompt - Check error details in Key-Value Store (`error-details`) **"Browser/chromium not found"** - The Actor includes Chrome in the Docker image - This error shouldn't occur in production - For local testing, install Chrome or set `CHROME_BIN` #### Getting Help If you encounter issues: 1. Check the **Log** tab for detailed error messages 2. Look up `error-details` in the Key-Value Store 3. Review the **Dataset** for partial results 4. Contact support with your Run ID ### 📚 Related Actors - **Text to Speech** - Add AI-generated voiceovers to your videos - **Image to Video** - Convert images into video content - **Video Transcription** - Extract text from videos ### 🔗 Links - [NVIDIA NIM Documentation](https://docs.nvidia.com/nim/) - [Remotion Documentation](https://www.remotion.dev/) - [Apify Actors Documentation](https://docs.apify.com/actors) *** **Built with** ❤️ using Apify, NVIDIA NIM, and Remotion # Actor input Schema ## `prompt` (type: `string`): The topic or idea for the video content. Be specific for best results. ## `voice` (type: `string`): AI voice for narration. Choose the voice that best fits your content. ## Actor input object example ```json { "prompt": "The benefits of meditation for mental health and productivity", "voice": "paul-neutral" } ``` # Actor output Schema ## `videos` (type: `string`): MP4 video files generated from your prompts ## `scripts` (type: `string`): JSON scripts generated for the videos ## `results` (type: `string`): Structured metadata about generated videos # 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 = { "prompt": "The benefits of meditation for mental health and productivity", "voice": "paul-neutral" }; // Run the Actor and wait for it to finish const run = await client.actor("akash9078/ai-text-to-video-generator").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 = { "prompt": "The benefits of meditation for mental health and productivity", "voice": "paul-neutral", } # Run the Actor and wait for it to finish run = client.actor("akash9078/ai-text-to-video-generator").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 '{ "prompt": "The benefits of meditation for mental health and productivity", "voice": "paul-neutral" }' | apify call akash9078/ai-text-to-video-generator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=akash9078/ai-text-to-video-generator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Text to Video Generator", "description": "Transform text prompts into professional AI-generated explainer videos instantly. High-quality text-to-video automation powered by NVIDIA AI and Remotion.", "version": "1.0", "x-build-id": "5jaxleeYabRDwEelq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/akash9078~ai-text-to-video-generator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-akash9078-ai-text-to-video-generator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/akash9078~ai-text-to-video-generator/runs": { "post": { "operationId": "runs-sync-akash9078-ai-text-to-video-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/akash9078~ai-text-to-video-generator/run-sync": { "post": { "operationId": "run-sync-akash9078-ai-text-to-video-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "prompt" ], "properties": { "prompt": { "title": "Video Prompt", "type": "string", "description": "The topic or idea for the video content. Be specific for best results." }, "voice": { "title": "Voice", "enum": [ "paul-neutral", "paul-happy", "paul-confident", "paul-cheerful", "oliver-neutral" ], "type": "string", "description": "AI voice for narration. Choose the voice that best fits your content.", "default": "paul-neutral" } } }, "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 } } } } } } } } } } ```