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  • Rating 368

Budget: 1000 USD Deadline: 40 days

Hello, I will propose to develop a robust, automated backend service that seamlessly integrates with your existing FastAPI application. This service will accurately render React-based text layers with Framer Motion animations into a VP9+Alpha WebM video, ensuring pixel-perfect fidelity with the client-side preview. The solution will be triggered by a payment webhook, execute entirely on the backend within a 30-second target, and save the final file to your MinIO storage, fully aligning with your specified requirements for quality, automation, and flexibility.

Thanks.

  • Projects 5
  • Rating 4.2
  • Rating 2 227

Budget: 250 USD Deadline: 30 days

Hello! I have reviewed your assignment and believe that I can successfully complete it. I would be happy to collaborate, please write to me personally for further details.

  • Projects 4
  • Rating -
  • Rating 364

Budget: 350 USD Deadline: 5 days

Hello!
I am interested in your offer for rendering text layers from React.
I am ready to implement it using Puppeteer (headless Chromium) with canvas capture (MediaRecorder API + VP9 encoder), automation via payment webhook, support for custom fonts, and saving to MinIO in 30 seconds/file (~50 MB).
Tools: Puppeteer + MediaRecorder (VP9), FFmpeg (alpha channel), Docker.
Write to me, and we will discuss the details!

  • Projects 14
  • Rating 3.8
  • Rating 1 371

Budget: 320 USD Deadline: 3 days

Hello, I have reviewed your task and would like to take on its execution. I possess all the necessary technical knowledge along with experience. I invite you to personal messages for clarification. I will be happy to collaborate.

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  • Rating 297

Budget: 1000 USD Deadline: 7 days

Hello.
This project focuses on achieving perfect pixel rendering of animated text layers from a web application into a final WebM video (VP9 + alpha) that fully matches the client-side preview. I will implement a backend-based rendering pipeline using headless Chromium (Puppeteer or Playwright) to reproduce the exact animations, fonts, and colors as they appear in React with Framer Motion, while ensuring 30 FPS and a resolution of 1080×1920. The process will be triggered automatically after the payment webhook is activated, streaming video frames into memory (without intermediate files) and storing the final result in MinIO. I will develop a flexible and dynamic font loading mechanism that supports Kazakh Cyrillic and new templates without changing the code logic. The result will be a fully automated, scalable, and maintainable backend rendering system that guarantees visual accuracy, performance, and easy configuration using environment variables.

  • Projects 4
  • Rating 4.0
  • Rating 642

Budget: 499 USD Deadline: 10 days

Hello! Your task is quite feasible. I am ready to invest all my talent so that you receive a quality product in a short time and within a reasonable budget. I look forward to your response — I am confident that with my professional skills and your brilliant ideas, we will create something amazing!

  • Projects 4
  • Rating 4.6
  • Rating 12 784

Budget: 1000 USD Deadline: 7 days

Hello Ashat,

I have carefully reviewed your project requirements and understand the need to generate WebM files with VP9 + alpha, preserving fonts, colors, animations, and timings exactly as in the client preview, fully automated after payment confirmation, without manual intervention or third-party software like After Effects.

To implement this, I propose using Node.js with headless browser rendering (Puppeteer or Playwright) combined with FFmpeg to encode the captured animation to WebM VP9 with alpha channel. This allows capturing React + Framer Motion text animations dynamically, including staggered character effects, colors, fonts (including Kazakh Cyrillic), and timing. All text parameters can be passed via JSON to make the system fully dynamic and reusable for new templates or fonts.

The pipeline will work as follows: upon receiving the payment webhook, the backend will trigger the rendering process, generate the WebM file in-memory or temporary buffer (without intermediate PNG sequences saved), encode it via FFmpeg, and store it directly in MinIO using the configured storage path from an environment variable. The process will be fully automated and containerized with Docker, ensuring deployment consistency.

I estimate the implementation timeline at 5–7 business days for development, testing, and integration with your current Docker setup. The budget I propose for this turnkey solution is $1,200–$1,500, depending on final performance tuning and testing of multiple templates/fonts.

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