Edit, finish, and generate AI images in bulk
Whole batches, finished for real: background removal checked for true transparency, AI-written file names, exact sizes and formats — with the cost shown before you run.
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Batches, finished end to end
The same care Chall22 puts into a single image applies to a hundred: upload a set, choose the operations, and let the batch run with full visibility — nothing silently dropped.
Background removal you can trust
Verified transparency
Every cutout is checked for genuine transparency. An opaque result is treated as a failure — never silently flattened onto a white background.
Background replacement
Swap the removed background for solid colors or gradients, with control over the subject's scale and position.
Removal styles
Pick the removal style that fits your images — product shots, portraits, fine detail — or let the default handle it.
Named, sized and ready to publish
AI renaming
Descriptive, web-ready file names written from what is actually in each image — or your own pattern with variables like index, date and dimensions.
Resize & optimize
Exact dimensions or aspect-ratio crops, format conversion and compression — applied to every image in the same run.
Progress & ZIP downloads
Watch each item move through the pipeline, retry only what failed, then download the finished set as a single ZIP with consistent names.
Built for people who ship images, not one-off experiments
Reusable refined prompts
Describe an image once. Chall22 turns it into a refined, parameterized prompt with variables you can adjust and version — so good results are repeatable, not lucky.
Side-by-side provider comparison
Generate with OpenAI and Gemini from the same prompt and compare the results next to each other. Keep the one that fits; retry only what didn't. More providers coming soon.
One organized history
Every generation is recorded with the exact prompt and settings that produced it. Reopen any result, rerun it, or pick up where you left off.
One prompt. Multiple image models. One creative workspace.
A workflow, not a slot machine
Four steps that turn a description into results you can reproduce.
- 01
Describe
Start from a plain-language description of the image you need.
- 02
Refine
Chall22 rewrites it into a stronger, reusable prompt and identifies the variables worth changing.
- 03
Compare
Run the refined prompt on multiple providers at once and judge the results side by side.
- 04
Reuse & process
Save prompts, rerun past generations exactly, and send whole batches through the same pipeline.
Honest by design
The same rule everywhere: nothing is claimed that didn't happen — not in your results, and not on your balance.
Estimates before you run
Every batch shows its estimated credits before you submit it, and operations that cost nothing are marked Free. No surprises after the fact.
Failed images are never charged
You are charged only for outputs that were actually produced. An image that fails along the way costs you nothing.
Quality checks on every output
Every stored result is automatically checked and labeled, so you know exactly which images deserve a second look before you download.
Everything stays connected
Prompts, provider results, assets and history reference each other — so you can always answer “how did I make this?”
Chall22 is in an invite-only pilot
We're onboarding a small group of teams and creators while we polish the experience. Tell us what you'd use Chall22 for and we'll get back to you.