doubao.photos vs Inpainty

doubao.photos and Inpainty are both image generation tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

doubao.photos

The studio handles text-to-image, reference-image-to-variation, and prompt-based editing inside a single interface — no pipeline stitching, no separate editing tool. The differentiator the vendor leans on is accurate Chinese character rendering, which matters for e-commerce copy, poster localization, and branded social content aimed at Mandarin-speaking markets. At the Fast tier the docs describe sub-2-second 2K output via Doubao-Seedream-5.0-lite, which keeps iteration loops short during concepting. The ceiling appears when you need anything beyond single-shot generation: no batch queue, no API integration path for automated pipelines, and a credit model where heavy iteration burns through allocation fast.

Inpainty

Upload a PNG, JPG, or WebP screenshot and the AI marks every detected text block as a clickable target. Tap a block, retype the text, download. The tool regenerates the image attempting to match the original font family, weight, size, and color. No account, no installation, no Photoshop license. The ceiling appears fast: single-block edits on clean screenshots work well, but complex backgrounds, decorative fonts, or tightly kerned text will produce mismatches the tool cannot recover from. When that happens, teams open Figma or Photoshop anyway.

Attribute	doubao.photos	Inpainty
Pricing	Paid	Free
Price	Free ($0) to $39/month	—
Free trial	No	No
Open source	No	Yes
Has API	Yes	No
Self-hosted option	No	No
Platforms	Web browser, Cloud-based via Volcengine	Web (browser), iOS, Android
Released	2024	—
Pros	Accurate Chinese character rendering baked into the Seedream model, which means bilingual poster and e-commerce copy no longer requires manual text compositing after generation. Three selectable model tiers per generation — Fast (Seedream-5.0-lite), Quality (Seedream-4.5), and Auto — so you control the speed-fidelity trade-off per task rather than being locked to one output profile. Text-to-image, reference-image variation, and prompt-based editing live in one interface, which means you avoid context-switching between a generation tool and a separate inpainting or variation tool. Prompt enhancement built into the interface, so teams without dedicated prompt engineers can get usable outputs without writing dense technical prompts from scratch. Fast tier targets sub-2-second 2K generation per the vendor's documentation, which keeps concepting loops short enough to iterate in a working session rather than queuing overnight.	No signup and no installation required, so a teammate who needs a one-time fix can be done before the time it takes to provision a Figma seat. AI detects every text block independently and makes each one clickable, which means you do not have to mask or locate text regions manually the way you would in an image editor. Format preservation per block — font family, weight, size, and color — so localized screenshots stay visually consistent with the source without manual style matching. Mobile-first editing with native share sheet support on iOS and Android, so the fix-and-share loop does not require a desktop if the screenshot originated on a phone. Text replacement doubles as content removal — typing nothing or replacement copy into a block hides names, prices, or emails, so sensitive screenshots can be shared without a separate redaction tool.
Cons	No batch generation mode: every output is a single manual run. Teams producing product catalogue variants — dozens of SKUs, multiple colorways, multiple aspect ratios — have no automation path and face linear time cost per asset. The credit model is tied to individual generations, not monthly throughput, which means a team running 50 iterations on a single campaign brief exhausts allocation at the same rate as 50 separate briefs. High-iteration creative workflows burn credits faster than the free tier absorbs. No public production API is described on the scraped page. Teams that want to trigger generation from their own CMS, e-commerce platform, or automation layer have no documented integration path — at which point they abandon this tool for a provider with a documented image generation API. Self-hosting is not available, which means teams operating under data residency requirements or corporate policies restricting cloud upload of unreleased product imagery cannot use this tool at all, regardless of output quality.	On decorative fonts, non-Latin scripts with complex rendering, or screenshots with photographic backgrounds, the regenerated text visibly mismatches the original — the vendor acknowledges this with 'tries to match' language, and there is no manual override for font or color. Teams with brand-critical assets open a design tool at that point. There is no batch mode, no API, and no self-hosting path, so any team that needs to process more than a handful of screenshots — automated localization pipelines, QA screenshot diffing, documentation generation at scale — hits the tool's ceiling immediately and switches to a scripted solution or a design platform with programmatic export.

Bottom line

Doubao.photos is paid while Inpainty is free; Inpainty is open source; only doubao.photos exposes a public API; doubao.photos runs on Web browser, Cloud-based via Volcengine; Inpainty on Web (browser), iOS, Android. Pick the difference that actually blocks you.

Frequently asked questions

What is the difference between doubao.photos and Inpainty?

doubao.photos is Paid, while Inpainty is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is doubao.photos better than Inpainty?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.