no code architects toolkit

The NCA Toolkit API eliminates monthly subscription fees by consolidating common API functionalities into a single FREE API. Designed for businesses, creators, and developers, it streamlines advanced media processing, including video editing and captioning, image transformations, cloud storage, and Python code execution.

790
371
Python

Original Logo Symbol

No-Code Architects Toolkit API

Tired of wasting thousands of dollars on API subscriptions to support all your automations? What if there was a free alternative?

The 100% FREE No-Code Architects Toolkit API processes different types of media. It is built in Python using Flask.

What Can It Do?

The API can convert audio files. It creates transcriptions of content. It translates content between languages. It adds captions to videos. It can do very complicated media processing for content creation. The API can also manage files across multiple cloud services like Google Drive, Amazon S3, Google Cloud Storage, and Dropbox.

You can deploy this toolkit in several ways. It works with Docker. It runs on Google Cloud Platform. It functions on Digital Ocean. You can use it with any system that hosts Docker.

Easily replace services like ChatGPT Whisper, Cloud Convert, Createomate, JSON2Video, PDF(dot)co, Placid and OCodeKit.

👥 No-Code Architects Community

Want help? Join a supportive community and get dedicated tech support.

Join the ONLY community where you learn to leverage AI automation and content to grow your business (and streamline your biz).

Who’s this for?

  • Coaches and consultants
  • AI Automation agencies
  • SMMA & Content agencies
  • SaaS Startup Founders

Get courses, community, support, daily calls and more.

Join the No-Code Architects Community today!


API Endpoints

Each endpoint is supported by robust payload validation and detailed API documentation to facilitate easy integration and usage.

Audio

Code

FFmpeg

  • /v1/ffmpeg/compose
    • Provides a flexible interface to FFmpeg for complex media processing operations.

Image

Media

S3

  • /v1/s3/upload
    • Uploads files to Amazon S3 storage by streaming directly from a URL.

Toolkit

Video

  • /v1/video/caption

    • Adds customizable captions to videos with various styling options.
  • /v1/video/concatenate

    • Combines multiple videos into a single continuous video file.
  • /v1/video/thumbnail

    • Extracts a thumbnail image from a specific timestamp in a video.
  • /v1/video/cut

    • Cuts specified segments from a video file with optional encoding settings.
  • /v1/video/split

    • Splits a video into multiple segments based on specified start and end times.
  • /v1/video/trim

    • Trims a video by keeping only the content between specified start and end times.

Docker Build and Run

Build the Docker Image

docker build -t no-code-architects-toolkit .

General Environment Variables

API_KEY

  • Purpose: Used for API authentication.
  • Requirement: Mandatory.

S3-Compatible Storage Environment Variables

S3_ENDPOINT_URL

  • Purpose: Endpoint URL for the S3-compatible service.
  • Requirement: Mandatory if using S3-compatible storage.

S3_ACCESS_KEY

  • Purpose: The access key for the S3-compatible storage service.
  • Requirement: Mandatory if using S3-compatible storage.

S3_SECRET_KEY

  • Purpose: The secret key for the S3-compatible storage service.
  • Requirement: Mandatory if using S3-compatible storage.

S3_BUCKET_NAME

  • Purpose: The bucket name for the S3-compatible storage service.
  • Requirement: Mandatory if using S3-compatible storage.

S3_REGION

  • Purpose: The region for the S3-compatible storage service.
  • Requirement: Mandatory if using S3-compatible storage, “None” is acceptible for some s3 providers.

Google Cloud Storage (GCP) Environment Variables

GCP_SA_CREDENTIALS

  • Purpose: The JSON credentials for the GCP Service Account.
  • Requirement: Mandatory if using GCP storage.

GCP_BUCKET_NAME

  • Purpose: The name of the GCP storage bucket.
  • Requirement: Mandatory if using GCP storage.

Performance Tuning Variables

MAX_QUEUE_LENGTH

  • Purpose: Limits the maximum number of concurrent tasks in the queue.
  • Default: 0 (unlimited)
  • Recommendation: Set to a value based on your server resources, e.g., 10-20 for smaller instances.

GUNICORN_WORKERS

  • Purpose: Number of worker processes for handling requests.
  • Default: Number of CPU cores + 1
  • Recommendation: 2-4Ă— number of CPU cores for CPU-bound workloads.

GUNICORN_TIMEOUT

  • Purpose: Timeout (in seconds) for worker processes.
  • Default: 30
  • Recommendation: Increase for processing large media files (e.g., 300-600).

Storage Configuration

LOCAL_STORAGE_PATH

  • Purpose: Directory for temporary file storage during processing.
  • Default: /tmp
  • Recommendation: Set to a path with sufficient disk space for your expected workloads.

Notes

  • Ensure all required environment variables are set based on the storage provider in use (GCP or S3-compatible).
  • Missing any required variables will result in errors during runtime.
  • Performance variables can be tuned based on your workload and available resources.

Run the Docker Container:

docker run -d -p 8080:8080 \
  # Authentication (required)
  -e API_KEY=your_api_key \
  
  # Cloud storage provider (choose one)

  # s3
  #
  #-e S3_ENDPOINT_URL=https://nyc3.digitaloceanspaces.com \
  #-e S3_ACCESS_KEY=your_access_key \
  #-e S3_SECRET_KEY=your_secret_key \
  #-e S3_BUCKET_NAME=your_bucket_name \
  #-e S3_REGION=nyc3 \

  # Or

  # GCP Storage
  #
  #-e GCP_SA_CREDENTIALS='{"your":"service_account_json"}' \
  #-e GCP_BUCKET_NAME=your_gcs_bucket_name \
  
  # Local storage configuration (optional)
  -e LOCAL_STORAGE_PATH=/tmp \
  
  # Performance tuning (optional)
  -e MAX_QUEUE_LENGTH=10 \
  -e GUNICORN_WORKERS=4 \
  -e GUNICORN_TIMEOUT=300 \
  
  no-code-architects-toolkit

Installation Guides

This API can be deployed to various cloud platforms:

Digital Ocean

The Digital Ocean App platform is pretty easy to set up and get going, but it can cost more then other cloud providers.

Important: Long running processes

You need to use the “webhook_url” (for any request that exceeds 1 min) in your API payload to avoid timeouts due to CloudFlair proxy timeout.

If you use the webhook_url, there is no limit to the processing length.

Google Cloud RUN Platform

Sometimes difficult for people to install (especially on Google Business Workspaces), lots of detailed security exceptions.

However this is one of the cheapest options with great performance because you’re only charged when the NCA Toolkit is processesing a request.

Outside of that you are not charged.

Imporatnt: Requests exceeding 5+ minutes can be problemactic

GCP Run will terminate long rununing processes, which can happen when processing larger files (whether you use the webhook_url or not).

However, when your processing times are consistant lower than 5 minutes (e.g. you’re only process smaller files), it works great! The performance is also great and as soon as you stop making requests you stop paying.

They also have a GPU option that might be usable for better performance (untested).

General Docker Instructions

You can use these instructions to deploy the NCA Toolkit to any linux server (on any platform)

You can more easily control performance and cost this way, but requires more technical skill to get up and running (not much though).

Testing the API

  1. Install the Postman Template on your computer
  2. Import the API example requests from the template
  3. Configure your environment variables in Postman:
    • base_url: Your deployed API URL
    • x-api-key: Your API key configured during installation
  4. Use the example requests to validate that the API is functioning correctly
  5. Use the NCA Toolkit API GPT to explore additional features

Contributing To the NCA Toolkit API

We welcome contributions from the public! If you’d like to contribute to this project, please follow these steps:

  1. Fork the repository
  2. Create a new branch for your feature or bug fix
  3. Make your changes
  4. Submit a pull request to the “build” branch

Pull Request Process

  1. Ensure any install or build dependencies are removed before the end of the layer when doing a build.
  2. Update the README.md with details of changes to the interface, this includes new environment variables, exposed ports, useful file locations and container parameters.

Thank you for your contributions!


How To Get Support

Get courses, community, support daily calls and more.

Join the No-Code Architects Community today!

License

This project is licensed under the GNU General Public License v2.0 (GPL-2.0).