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AI · Full-stack · Content automation

Media Studio

AI app for laptop review content: from one product link it produces true-to-device photo sets, spell-checked Vietnamese banners and voiced review videos with real benchmarks, all callable through a REST API for the article pipeline.

In daily use for review content

Media StudioMedia Studio
Role
Design, development, operations
Engines
GPT Image (Codex), Gemini, VieNeu, TinyPNG
Version
1.15.21
Outputs
Photos, banners, scripts, voiceovers, videos
4.721
images generated in the library
9
tools in one dashboard

Highlights

Quick create from one link

Paste a product link to get a narrated, subtitled review video, a photo set, banners or a podcast.

Consistent product photos

Laptop photo sets kept consistent per scene (studio, gaming, office...), with chosen angles and variant counts.

Image processing

Background removal with macOS Vision to transparent PNG, UltraSharp upscaling to 2K, 4K or 8K.

Scripts and voice

Review and comparison scripts, Gemini or VieNeu voiceover, two-host podcasts.

AI models and banners

Consistent uniformed AI models, cover banners, thumbnails, laptop and component comparisons.

Screenshots

Dashboard: toolset and engine statusDashboard: toolset and engine status
Dashboard: toolset and engine status
Library: 4,721 generated images, filter by type and search by productLibrary: 4,721 generated images, filter by type and search by product
Library: 4,721 generated images, filter by type and search by product
Product photos: shot angles, scene and variant countProduct photos: shot angles, scene and variant count
Product photos: shot angles, scene and variant count
Quick create: paste a product link to get video, photos, banners, podcastsQuick create: paste a product link to get video, photos, banners, podcasts
Quick create: paste a product link to get video, photos, banners, podcasts
Scripts: product review scripts with tone and lengthScripts: product review scripts with tone and length
Scripts: product review scripts with tone and length

Click an image to enlarge, use the arrow keys to browse.

On this page
  1. The problem
  2. The solution
  3. Compared to popular tools
  4. License
  5. Third-party libraries and resources (0)

The problem

A single laptop review needs a lot: a consistent product photo set, a cover image, comparison banners, benchmark charts, a script, voiceover and a video. Each lives in a different tool, AI tends to redraw device details (keycaps, ports, logos), Vietnamese text on images loses its diacritics, and benchmark numbers are looked up by hand.

The solution

Media Studio puts the whole workflow into one web app running on a home machine, usable by hand or through an API. The article pipeline sends a product link and gets photos, banners and a video back.

True-to-device product photos

Reshoot keeps the original camera angle, background swap keeps every device pixel, and AI models stay consistent. Each image is scored by AI against the reference (chassis, keycaps, ports) and regenerated until it passes; studio shots went from a match of 72 to 89-92.

Layered banners

AI paints the background and headline, the original laptop photo is composited on top. Vietnamese text is read back by OCR; a single wrong diacritic triggers a retry or a switch to HTML text.

Review videos from one link

Real benchmarks (NotebookCheck, Blender Open Data), a script that opens with a hook, Gemini voiceover, and a 1080p Remotion render with 11 scene templates and 3D camera moves. Whisper word timings make each spec appear exactly when the voice mentions it.

Image and audio processing

Multi-engine background removal with quality checks, on-device UltraSharpV2 upscaling, TinyPNG compression, Gemini and VieNeu voices, two-host podcasts, local speech recognition.

Fallback engines and API

GPT Image 2 (Codex) generates images and falls back to Nano Banana when the quota runs out; Gemini 3.8 Flash handles writing and image reading. The REST /api/v1 is key-protected, with background jobs, duplicate-safe retries and a quota-aware health endpoint.

Feature Media Studio Canva Photoroom
Background removal, product upscaling Yes Yes Yes
Consistent sets that keep device details Yes Partial Partial
Automatic AI-vs-reference scoring Yes No No
Vietnamese-text banners with OCR checks Yes Partial No
Review video from a link, voiced, real benchmarks Yes Partial No
Multiple AI engines with automatic fallback Yes No No
REST API for pipelines Yes Partial (paid) Partial

Not a Canva replacement for free-form design. Media Studio excels at automating product review content through a pipeline and API, running almost free on a home machine.

License

Source code is not public, all rights reserved. The code of this project is not kept on the web server, so there is no license file to check against.

The screenshots on this page were taken by me from the running version of the project.

See the License and credits page →

Third-party libraries and resources (0)

No list yet: the code of this project runs on another machine and I will add it once it has been scanned.

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