Budget: 25000 UAH Deadline: 14 days
Hello, I can implement such functionality, feel free to contact me.
My stack: JS, TS, ReactJS, NextJS, SCSS...
A program is needed that will allow:
1. to overlay images on videos:
• Automatic image processing: desaturation, aspect ratio correction
• To overlay images according to predefined parameters: positioning and projection
• Rotation (10°, 15°, 20°).
• Using the Multiply blending mode
2. To apply text to photo templates:
• Inserting text into predefined areas.
• Considering font, color, and size settings,
• Support for multiple text zones and preview of the result.
Main functionality:
• Working with templates uploaded by the administrator (video and photo).
• User-friendly interface: web platform and Telegram bot.
• Administrator functions: managing templates and users.
What is needed:
• Development of a program with automation of all processes.
• Support for managing templates and users.
The technical specifications along with ready examples are attached
Budget: 25000 UAH Deadline: 14 days
Hello, I can implement such functionality, feel free to contact me.
My stack: JS, TS, ReactJS, NextJS, SCSS...
Budget: 25000 UAH Deadline: 7 days
Good afternoon!
I am ready to develop a program with the specified functionality. The project will include the following main features:
Implementation of functionality:
1. Overlaying images on video:
Automatic image processing:
I will implement desaturation, aspect ratio adjustment, and automatic image correction upon upload.
Positioning and projection:
Setting up overlays according to predefined parameters with the possibility of adjustment.
Rotations:
Support for rotating images at angles of 10°, 15°, 20°.
Multiply mode:
Applying the Multiply overlay mode to create a blending effect.
2. Adding text to photo templates:
Designated areas for text:
Ability to insert text into predefined zones.
Text settings:
Support for fonts, colors, sizes, and text styles.
Multi-zone support and preview:
I will add several text zones with a preview function before saving.
Platform support:
1. User-friendly interface:
Web platform:
A simple interface for uploading and working with templates.
Telegram bot:
I will implement a bot with access to main functions for users.
2. Administrator functions:
Template management (adding, deleting, editing).
User management (creating roles, granting access).
Budget: 25000 UAH Deadline: 7 days
To implement the program described in the technical specification, I propose the following approach:
Program functionality
1. Working with video:
Overlaying images on video:
Automatic processing of uploaded images:
Desaturation (grayscale) and aspect ratio adjustment.
Support for PNG, JPG formats.
Overlay parameters:
Setting position (X, Y) and size.
Image rotation (10°, 15°, 20°).
Applying Multiply mode (blending mode).
Interface:
The user selects a video and uploads an image via the web platform or Telegram bot.
2. Working with photo templates:
Adding text to photo templates:
Text areas defined by the administrator:
Sizes, fonts, colors, alignment.
Support for multiple text areas.
Implementation of preview:
The user sees the result before final saving.
3. Managing templates and users:
The administrator can:
Upload new video and photo templates.
Configure text areas on photos.
Manage users and their access rights.
User-friendly interface for editing templates and managing users.
Technologies for implementation
Frontend:
Web platform: React or Vue.js for an intuitive interface.
Telegram bot: Python (aiogram or pyTelegramBotAPI) for user interaction.
Backend:
Server: Python (FastAPI or Flask) for request processing.
Media processing:
Video and images: OpenCV, FFmpeg for image overlay and video processing.
Text on images: Pillow (PIL) for working with templates.
Data storage:
Files: S3-compatible storage (AWS S3, MinIO or similar).
Database: PostgreSQL/MySQL for storing information about users, templates, and text settings.
Infrastructure:
Deployment: Docker for application isolation and CI/CD.
Hosting: Cloud platforms (AWS, GCP, DigitalOcean).
Advantages of the proposed solution
Automation of video and photo processing.
User-friendly interface for users and administrators.
Scalability for adding new features.
Development stages
Planning and agreement:
Analysis of the technical specification and finalization of requirements.
Design:
Development of interfaces (web and Telegram bot).
Development:
Backend API for processing video and photo.
Frontend and Telegram bot for user interaction.
Testing:
Checking all functions and optimization.
Launch:
Setting up hosting and training administrators.
I am ready to discuss the project in detail, including timelines, budget, and examples of similar work. Write to start!
Budget: 25000 UAH Deadline: 10 days
I have extensive experience in developing bots, scripts, and parsers in Python.
My stack: MySQL, PostgreSQL, working with APIs, parsing, payment systems, web admin panels, working with large volumes of data.
I will do everything with high quality; you can see examples in my profile and on GitHub.
I will be waiting for your message to learn more about some details and discuss the terms of reference.
Budget: 25000 UAH Deadline: 3 days
Hello! Do you have specific technologies/programming languages in mind for developing this software? I will determine more precise terms and budget after personal communication.
Here’s how I plan to execute this project:
1. First, I will develop the core functionality of the program, including automatic image processing, settings for overlaying images and text on video and photo templates.
2. Then, I will create a user-friendly interface that will work both as a web platform and through a Telegram bot.
3. In the final stage, I will set up admin features for managing templates and users.
Thank you for considering my proposal. I look forward to the opportunity to work with you!
Budget: 25000 UAH Deadline: 30 days
Good day, I am interested in your project, I am confident that my experience is sufficient for its successful completion.
Budget: 25000 UAH Deadline: 15 days
Good afternoon.
I reread the project brief, I have a few questions, and I also want to suggest some "alternatives" to fit within the budget. And as I understand, there should be roles?
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LLM divides the script into scenes and returns for each: scene text; visual type: video or photo; search query (a detailed phrase of what should be in the frame); highlight mark + importance rating 1-10 (for intro, see below). 4. Voiceover. The text is sent to ElevenLabs API with the chosen voice → audio. The video sequence is cut to match the length of the audio for each scene. 5. Video/photo selection — from free sources via API (see the list below). A specific request is formed for each source (for accuracy). If one doesn't yield results — it tries the next. 6. Verification (maximum 3 steps per scene). Step 1: the program takes the first found option (video/photo) based on the request. Step 2: sends the frame to LLM — "does it fit the scene?". If it fits → stop. Step 3 (if it doesn't fit): the program switches to searching for photos (it's easier to find photos with an exact request than videos — this guarantees relevance) and takes it with enhanced motion (zoom + pan). No more than 3 steps per scene — this saves the LLM budget and ensures that the frame is relevant. 7. Assembly via ffmpeg/moviepy: clips and photos timed to the voiceover, photos are animated with zoom (Ken Burns effect), voice on top, simple transitions. Output: MP4 1920×1080. Video sequence rules (important — the program is responsible for this) First 60 seconds — intro teaser: a montage of the most impactful clips from the entire video (scenes with the highest importance rating that contain video) under a separate introductory text from LLM ("in this video you will learn..."), frames without explanations, creating intrigue. Then a transition to the main part. Alternation: video insert at least every ~6 seconds, no many photos in a row. Video share: at least ~40% of the time — live clips, the rest — photos with zoom. Frame length: 4-6 seconds (both photos and videos). No rapid cuts, no prolonged static shots. For purely historical topics where there is no video — photos with enhanced motion (zoom + pan). Sources (all free, with API) Modern video + photos: Pexels, Pixabay. Historical/archive (public domain): Wikimedia Commons, Archive.org, Library of Congress, Europeana, NASA, Smithsonian Open Access, Flickr Commons, openverse. Each source is a separate module, easy to add new ones. Use only public domain / free licenses with the right for commercial use. No parsing of other YouTube/sites, movie clips, images "from Google".Uniqueness of selection To ensure videos do not match others: take a random clip from the top results (not the first), maintain a database of already used clips (do not repeat), optionally — light processing of the clip (crop/mirror/speed). Options (enable/disable in settings) Photos only — if enabled, the video is assembled PURELY from photos, without video clips. 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When installing the program, a set of 5-8 popular overlays (particles, dust,copybokeh, fog, light cinematic "grain") is placed in a local folder — I choose the needed one from the list. Adjustable transparency/brightness of the overlay (slider 0-100%), so the effect is neithercopytoo dull nor too pronounced — I adjust the strength myself. Ideally, the overlay should also be applicable to ALREADY finished videos separatelycopy(post-processing: take a ready MP4 → choose overlay → set transparency → save), not just during assembly. Where to get overlays for packaging (free license): Pexels, Pixabay (queriescopy"particle overlay", "bokeh overlay", "dust overlay", "light leaks", "film grain"), Mixkit, Videezy. The performer selects 5-8 pieces and places them in the program folder. Subtitles (embed or separate .srt). Clip processing for uniqueness. Resolution/format, video length, video share, search depth.Technical requirements Python. Modular structure (sources and LLM — through interchangeable modules, to easily replace or add). All API keys — in the settings file, not in the code. Simple window (GUI at the discretion of the performer — Tkinter/PyQt), launched by double-clicking. README with instructions, clear logs, comments in the code.What I provide API keys (ElevenLabs, LLM, where registration is needed — I will arrange). I will pay for any fees myself. Examples of video references (I will attach) and examples of topics for tests.Acceptance (ready if) I launch → window → I enter the topic, choose the voice → "Create" → I receive a ready MP4. The video sequence matches the meaning of the text, alternating video/photos, intro teaser 60 sec, voiceover on top. Works with at least 6 free sources, with fallback between them. Frame verification through LLM: max. 3 steps per scene (found → LLM checked → if not, photo with motion as a sure bet). Uniqueness: randomization + database of used. Only legal sources. There is a README, runs from scratch.Delivery of results All source code — in open view (all files), without obfuscation + compiled working version. I can run it myself from the sources according to the instructions (README: installation, keys, launch). The code must be clean, commented, and understandable, so **any other programmer can continue working** on it if needed (not tied to the author). **All everyday work — through the interface (buttons, fields, sliders, dropdown lists), WITHOUT the need to touch the code.** All settings (topic, voice, options, overlay, folders, length, formats) are changed in the program window, not by editing files. The code in hand — only as my property and insurance, not as a way to control the program. All rights to the code after payment — mine.Disk space management (important) The program should not fill up the disk. Implement: After assembling the video, all intermediate files (downloaded clips, temporary pieces, audio cuts) are automatically deleted — only the ready MP4 remains on the disk. Cache limit (parameter in settings, e.g., 5 GB): when exceeded, old downloaded files are automatically deleted (starting with the oldest). I set the folder for ready videos and for temporary files in the settings. Show how much space is occupied, and a button "clear cache" manually.Please specify in your response Examples of similar works (ffmpeg/moviepy, working with stock/archive APIs, ElevenLabs/LLM). Proposal for GUI. Does the solution use a database (which and why) — or are local files sufficient. Timeline and cost.