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


Paste a product link to get a narrated, subtitled review video, a photo set, banners or a podcast.
Laptop photo sets kept consistent per scene (studio, gaming, office...), with chosen angles and variant counts.
Background removal with macOS Vision to transparent PNG, UltraSharp upscaling to 2K, 4K or 8K.
Review and comparison scripts, Gemini or VieNeu voiceover, two-host podcasts.
Consistent uniformed AI models, cover banners, thumbnails, laptop and component comparisons.










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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.
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.
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.
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.
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.
Multi-engine background removal with quality checks, on-device UltraSharpV2 upscaling, TinyPNG compression, Gemini and VieNeu voices, two-host podcasts, local speech recognition.
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.
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 →
No list yet: the code of this project runs on another machine and I will add it once it has been scanned.





















