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Image

Point at what you want changed.

Mark up the photograph the way you would mark up a print, and let the app turn your annotations into the instruction.

Real output

The marks, and what they produced

Three real edits, each shown as the marked-up photograph that went in and the frame that came back. The annotations are the brief.

  • Three changes, one pass

    An ellipse asking for pink flowers, an arrow at a sleeping dog, and a box where a bench and a seated man should go. All three arrive in the same render.

    Three changes, one pass — the source, marked up Marked up
    What was asked for
    Three changes, one pass — the result Result
    Nano Banana Pro Reads the notes as an instruction and edits the whole frame
  • Dressing a room

    Blue curtains on the windows, a quote written on the blackboard and a book on the desk — three notes placed where each change belongs.

    Dressing a room — the source, marked up Marked up
    What was asked for
    Dressing a room — the result Result
    GPT Image 2 Reads the notes as an instruction and edits the whole frame
  • Recolour one thing, add another

    A box round the sofa asking for purple, and an ellipse where a woman should be sitting. Everything outside the marks is left as it was.

    Recolour one thing, add another — the source, marked up Marked up
    What was asked for
    Recolour one thing, add another — the result Result
    Flux Fill Edits only inside the marked region
How it works

Mark it up, and let the app write the brief

01

Upload and mark up

Drop an image and annotate it with any of the eight tools, in any of six ink colours. Place a text note directly on the picture to say what should change there, and undo or redo from the keyboard as you go.

02

Add references if you need them

Up to four reference images can be dropped onto the canvas to show the model what you mean rather than describe it.

03

Enhance and render

The app rewrites your annotations into a single written instruction, then sends it with the picture. Choose a model, and the result lands in your Image library.

Inputs and outputs

What Draw to Edit takes, and what it returns

What Draw to Edit needs from you

Input
One image, marked up on the canvas
Annotations
Marks, regions, pointers and text notes placed on the picture
References
Up to four reference images, optional
Pricing
60 credits per megapixel of what the model receives

Export specifications

Output
One edited image per run, on every model
Pricing
60 credits per megapixel of what the model receives, not what you uploaded
Failed runs
Refunded
Delivery
Your Image library, alongside everything else you have generated
What you can control

The marks, the notes, and which model reads them

Only Flux Fill is sent a mask. The other three are sent the clean photograph plus your annotations rewritten as an instruction, and never see the marks — sending marked-up composites made the model draw the markers into the output.

  • Canvas tools

    Eight tools, six ink colours

    Select and move, draw freehand, erase a mark, mark a rectangle, mark an ellipse, lasso a region, point at something, and add a note. Red is the default ink.

  • Text notes

    Placed anywhere on the image

    A note sits on the picture and asks what should change there, so the instruction is attached to the place it applies to.

  • Reference images

    Up to four

    Dropped on the canvas to show the model a colour, a material or a style rather than describe it.

  • Undo and redo

    Keyboard

    Every mark is a step you can take back, so the canvas is a draft rather than a commitment.

  • Prompt enhancement

    Runs before generating

    Your marks and notes are rewritten into one written instruction, which is what the model actually receives.

  • Model

    Four models

    Nano Banana Pro, Nano Banana, GPT Image 2 and Flux Fill. Only Flux Fill is given the mask.

  • Aspect ratio

    Auto, 1:1, 16:9, 9:16, 4:3 or 3:4

    Auto keeps the source framing. GPT Image 2 does not offer Auto, so a ratio has to be chosen.

Engine choice

Pick the one that matches your source.

  • Nano Banana Pro

    Best overall

    Google's stronger editing model, and the default. Best overall quality.

    Most edits

  • Nano Banana

    Faster

    The same family, for faster and lighter edits.

    Iterating quickly

  • GPT Image 2

    Text

    OpenAI's editor, and the one to pick when the edit involves text. It has no Auto aspect ratio.

    Edits involving text

  • Flux Fill

    True inpaint

    The only model of the four that receives your mask, and it edits only inside the marked region. It downscales to 2,048 pixels wide first and is priced on that.

    Protecting the rest of the frame

Who it's for

Built for editing one region, not regenerating the picture

  1. Retouchers

    Take out a distraction or repair a region without rebuilding the whole frame around it.

  2. Packaging and ecommerce teams

    Change wording or a colour on an existing shot instead of commissioning another one.

  3. Art directors

    Mark up a real layout the way you would mark up a proof, and see the change rather than describe it in an email.

One product. Pick your volume.

Built for Growth at Every Stage

Every plan includes every model and every feature. Plans only change how many credits you get and how many generations run at once.

Pro

Occasional projects

2,900/month

Get Started

Credits per month

60,000

≈1,000 images or ≈12 videos


At once

6 parallel generations

Max

Daily production

5,900/month

Get Started

Credits per month

150,000

≈2,700 images or ≈30 videos


At once

8 parallel generations

Ultimate

High-volume

9,900/month

Get Started

Credits per month

260,000

≈4,700 images or ≈55 videos


At once

10 parallel generations

Enterprise

Teams & agencies

1,00,000+/month

Contact Us

Credits per month

Custom volume

≈1,000 images or ≈12 videos


At once

Custom concurrency

  • Credits refresh monthly
  • Top-up additional credits anytime
  • Unused credits don't roll over

Not ready for the commitment?

Pay as you go

Free to sign up. Buy credits when you need them, same models, same features as every plan above.

Buy Credits

Credit packages

15 credits per 1

You pay You get
500 7,500 credits
1,000 15,000 credits
2,000 30,000 credits

FAQ

Frequently asked questions

Everything you need to know about Draw to Edit on BeHooked.

Do the models see my marks?

Only Flux Fill does, as a mask. The other three receive the clean photograph plus your annotations rewritten as a written instruction, because sending them a marked-up composite made them draw the markers into the output.

Is it just a brush?

No. There are eight tools — select and move, draw freehand, erase a mark, mark a rectangle, mark an ellipse, lasso a region, point at something, and add a note — in six ink colours, with red as the default. Notes sit on the image itself and ask what should change there.

Which model should I use for text?

GPT Image 2. It is the one to pick when the edit involves text. Note that it does not offer an Auto aspect ratio, so you have to choose one yourself.

Can I generate several options at once?

No. Every run returns a single image, on every model. If you want alternatives, run it again.

How is it priced?

60 credits per megapixel of what the model receives, which is not always what you uploaded — Flux Fill downscales to 2,048 pixels wide first and is priced on that. Failed runs are refunded.

Can I show it a reference rather than describe one?

Yes. Up to four reference images can be dropped onto the canvas alongside your marks.

Where does the result go?

Into your Image library, with everything else you have generated, rather than into a list that only this app can read.

Change one region, keep the rest

Experience Draw to Edit and every specialized AI app in your workspace.

Try Draw to Edit