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VividManga colourises black-and-white manga while keeping recurring characters on a fixed palette and leaving speech bubbles untouched. It takes ZIP and CBZ archives, offers twelve-plus styles, and exports pages individually or as a packaged chapter.
Colouring one manga page is a solved problem. Colouring two hundred of them is not, and the difference is entirely consistency: a model that treats every page as a fresh image will give the same character brown hair on page three and auburn on page forty, and the volume falls apart.
VividManga is built around that specific failure. Its character card system asks you to fix a palette for each recurring character first, then applies it across the batch, while text isolation keeps speech bubbles, sound effects and narration boxes out of the colouring pass entirely.
This review covers how the character workflow actually changes the output, why archive input matters more than it sounds, what the style list is really choosing between, and the limits — including the rights question no tool in this category can answer for you.
Everything else VividManga does, a general coloriser roughly does too. This is the part that does not exist elsewhere.
The workflow inverts the obvious one. Instead of colouring pages and hoping the model stays consistent, you review and define a colour palette per character first — the card — and only then run the chapter. The palette becomes a constraint the batch is held to rather than something re-guessed on every page.
That matters because character identity in manga is carried by very few signals. In black and white, a character is their hairstyle, their silhouette and their costume shapes. Add colour inconsistently and you have quietly created a different person, and readers notice long before they can explain why.
The practical consequence is that the setup step is where the quality is decided. Rushing the cards to get to the fun part produces exactly the drift the feature exists to prevent.
A page can be beautiful and still be wrong. In a volume, the only quality that matters is whether page forty agrees with page three.
Text isolation covers speech bubbles, sound effects and narration boxes, and it is the least glamorous capability on the list.
It is also the one whose absence is immediately obvious. Manga lettering is pure black on pure white by design, sitting inside shapes the artist drew to be read at speed. A coloriser that treats a speech bubble as an object to be tinted produces pages that are technically colourful and genuinely harder to read.
Sound effects are the harder case, because they are drawn artwork rather than typeset text — often overlapping panels, sometimes part of the composition. Getting those excluded reliably is a better test of the tool than any hero image, and it is worth checking on an action page rather than a quiet one.
Accepted inputs are PNG, JPG and WEBP at up to 5 MB per file, uploaded individually, dragged in as a batch, or imported as a ZIP or CBZ archive. Output comes back as individual pages, a packaged batch ZIP, or CBZ and PDF, with 4K available on paid plans.
CBZ support is the detail that signals this was built by someone who has actually handled digitised manga. A CBZ is just a ZIP of page images with a comic-reader extension — it is how scanned volumes are stored and read, and a tool that cannot open one is asking you to unpack and repack every chapter by hand.
The 5 MB per-file ceiling is the constraint to check against your own scans. A high-resolution greyscale page can exceed that, and downscaling before upload is a quality decision you would rather make deliberately than discover halfway through a volume.
Twelve-plus styles sounds like padding and is not, but the choice is narrower than the list implies. Natural, dramatic, vibrant, cel shaded, soft, flat colour, monochrome, pastel, painterly, retro, watercolour and sepia are really three decisions.
The order below is the difference between a chapter you can read and a folder of pages you have to re-do.
There is no translation. Manga Colorizer bundles colour and 15-plus language translation with rebuilt speech bubbles; VividManga does colour only. If you are reading a raw release you cannot read, colour does not help you.
Automatic colour also cannot know intent. An artist's own colour edition makes choices about mood, symbolism and emphasis that are decisions, not derivations from a greyscale page. Generated colour produces something plausible, and plausible is not the same as right.
And the rights position sits entirely with you. Manga is copyrighted work owned by creators and publishers, and a coloured version is a derivative of it. Your own artwork, licensed material and public domain work are straightforward. Colouring a series you bought for private reading varies by jurisdiction, and sharing the result is a separate decision from making it — one the batch export and archive output make very easy to take without noticing.
Finally, this is a 2026 product with a small footprint. The Discord and refund policy are published, which is more than many, but treat it as a young tool and keep your source scans.
Three of these come up constantly in manga colouring and are easy to skim past.
| Company | VividManga, established 2026 |
|---|---|
| Category | AI manga and line-art colourisation |
| Accepted inputs | PNG, JPG, WEBP |
| Per-file limit | 5 MB |
| Batch input | Drag-and-drop, ZIP or CBZ archive import |
| Consistency | Character cards fixing a palette per recurring character |
| Text handling | Speech bubbles, sound effects and narration boxes isolated from colouring |
| Styles | 12+, including natural, dramatic, vibrant, cel shaded, soft, flat colour, monochrome, pastel, painterly, retro, watercolour and sepia |
| Outputs | Individual pages, batch ZIP, CBZ and PDF |
| High resolution | 4K on paid plans |
| Translation | Not offered |
| Community | Discord, GitHub and email links published |
| Policy pages | Privacy, terms, community guidelines and refund policy |
Character cards that fix a colour palette per recurring character
Consistent character colours maintained across a batch
Text isolation protecting speech bubbles, sound effects and narration boxes
ZIP and CBZ archive import for whole chapters
Drag-and-drop batch upload
12+ colour styles including cel shaded, flat colour, watercolour and sepia
Export as individual pages, batch ZIP, CBZ or PDF
4K output on paid plans
One of these is a direct competitor; the rest are general image tools that were never built for ink and screentone.
| Tool | Built for | Volume consistency | Translation |
|---|---|---|---|
| VividManga | Manga colouring at chapter and volume scale | Character cards lock palettes across a batch | No |
| Manga Colorizer | Manga colouring plus localisation | Style presets, no per-character palette lock | Yes — 15+ languages with rebuilt bubbles |
| Pixlr | General image editing | Manual — you are the consistency | No |
| Aiarty Image Enhancer | Photo enhancement and upscaling | Not applicable | No |
| OpenArt | General AI image generation | Not applicable | No |
Colour, translation, enhancement and generation are four different jobs.
Last checked . Read from vividmanga.com during this check, with the screenshot above captured at the same time.
The rights section is general information about copyrighted work and derivatives, not legal advice, and is not a claim about how anyone uses this tool. Observations about consistency drift describe generative colouring in general rather than measured behaviour of this product.
VividManga has an AInexfinder Editor Score of 3.9/5.
AInexfinder does not list plan prices or billing details. For current pricing, plans, and trials, visit the official VividManga website.
Visit official website for pricingVendor pricing, credits, and billing policies change over time. Always confirm on the official site before you buy.
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Assigned reviewer
Daniel ReedSenior AI Tools Reviewer
Daniel reviews AI tools the slow way — by actually using them on real projects. His reviews cover what works, what breaks, and who each tool is genuinely a good fit for.
Daniel and the AInexfinder editorial team research VividManga using public product information, listing evidence, and (when available) hands-on checks. Scores reflect listing completeness and transparency — not paid placement.