Upload one source image
Choose or drag a JPEG, PNG, or WEBP accepted by the live tool. The page checks type, file size, and count before any task is created.
Visual Analysis Tool
Image to Prompt: Reconstruct the Creative Direction Behind an Image
Upload one JPEG, PNG, or WEBP image and receive a reusable prompt that explains the subject, visual style, composition, lighting, camera language, color palette, and other generation-relevant details.
Analyze an image
One-image workflow · Structured result · Live Star Task point price
Creative settings
Image to Prompt
Source image*
The prompt structure will be adapted to the target workflow.
Advanced options
Generated result
Complete the settings and generate. Your result will appear here without leaving the page.
Turn visual references into editable prompt language
A useful reference image can communicate more than a paragraph, but image-generation tools still need words. The NanoBanana Pro Image to Prompt tool bridges that gap. Upload one image and the analysis workflow converts visible choices into a detailed creative brief: what the subject is, how the frame is organized, where light comes from, what colors dominate, which camera cues shape the scene, and which stylistic details make the image recognizable. The goal is not to recover a secret original prompt; it is to create a practical new prompt based on observable visual evidence.
The upper workspace follows a direct upload-and-result layout. The upload control and all analysis preferences are built into the page, so they appear immediately without waiting for the tool catalog. You can click or drag one JPEG, PNG, or WEBP image, review a local preview, choose the destination, language, detail level, negative-prompt preference, and visual focus, then generate without leaving the page. Only the uploaded Star Task URL is passed into the task; the browser never sends base64 image data inside the task body.
Star Task still confirms that image-to-prompt is enabled, supplies the current point price, and quotes the exact input before generation. The creation response remains the authoritative charge. The interface never controls the price or exposes the internal models and private prompt chain.
What does reverse image prompt analysis produce?
Image-to-prompt analysis describes how an image is constructed for the purpose of creating new work. A basic caption might say “a woman standing on a rainy street.” A generation-oriented prompt goes further: subject appearance and pose, environment, foreground and background relationships, lens perspective, framing, depth of field, lighting direction and softness, material texture, color grading, atmosphere, and relevant rendering style. When the structured result is available, this page separates those sections so you can inspect and reuse them deliberately.
You can choose a target platform, output language, detail level, whether to include a negative prompt, and which visual qualities deserve extra focus. These stable controls are built into the page for instant use. The final prompt is suitable as a starting point for Nano Banana, Nano Banana 2, Nano Banana Pro, GPT Image 2, Midjourney, or another compatible image workflow, but each model may interpret the same wording differently.
Reverse prompting is most responsible when used to study and transform visual direction, not to claim authorship of another creator’s work. Avoid uploading private, confidential, or rights-restricted material without permission. Remove sensitive information from screenshots before analysis. Generated descriptions can also miss context, names, text, or subtle cultural signals, so compare the written result with the source image and correct anything inaccurate before using it in production.
A clear three-step image analysis workflow
Validate the source, choose the desired output, then reuse only the details that support your goal.
Choose analysis preferences
Immediately select output language, detail level, target workflow, negative-prompt preference, or a particular visual focus.
Generate and refine
Review the complete prompt and structured visual notes, copy the useful sections, then adapt them to your subject, brand, and chosen image model.
A prompt result you can understand and edit
The tool emphasizes reusable visual decisions instead of returning only a one-line caption.
Local image preview
Confirm the selected source before upload, replace it easily, and avoid analyzing the wrong file.
Constraint-aware validation
Accepted formats, maximum bytes, and required image count follow the current Star Task tool configuration.
Structured visual breakdown
When supplied by the service, subject, style, composition, lighting, camera, color palette, and aspect ratio appear as separate sections.
Complete prompt fallback
The normalized text result is always supported, even if structured data is unavailable for a particular tool version.
Optional negative prompt
If the live configuration offers it, request a separate negative prompt for common artifacts or unwanted visual traits.
Transparent point charging
The page quotes the current tool price before creation and displays the authoritative charge returned by Star Task.
Where image-to-prompt analysis saves time
Designers use reverse prompts to turn mood-board references into shared vocabulary for lighting, composition, and texture. Marketing teams analyze a successful campaign frame, remove product-specific details, and create a reusable art-direction template for new subjects. Photographers study lens perspective and light placement. E-commerce teams document background, surface, shadow, and framing conventions so product images remain coherent across a catalog. Educators can ask students to compare the source image with the generated analysis and identify which visual decisions the AI understood or missed.
Creators also use the result as a learning aid. Instead of copying the entire prompt, isolate one section at a time: keep the lighting but change the subject, retain the composition but choose a different palette, or reuse the camera language in an image-to-video brief. This modular approach produces more original outcomes and teaches which words actually influence generation. For best results, start with a clear source image, correct analysis errors, remove references you do not own, and test the final prompt in the model you intend to use.
Related tools
Image to prompt questions
Which image formats can I upload?
The live tool supports one image and publishes its accepted MIME types and maximum file size. The current workflow is designed for JPEG, PNG, or WEBP.
Does it recover the exact original prompt?
No. It creates a new prompt from visible evidence. Metadata, hidden intent, and the original creator’s exact wording cannot be reconstructed reliably.
What appears in the structured result?
When available, it can include prompt, negative prompt, summary, subject, style, composition, lighting, camera, color palette, and aspect ratio.
Can I choose the output language?
Yes. The page immediately provides English, Simplified Chinese, Traditional Chinese, and Japanese options.
How are uploaded images handled?
Images are uploaded to Star Task as temporary inputs. The current production lifecycle expires new uploaded inputs after approximately two hours.
How many points does analysis cost?
The current site price comes from the live tool catalog and quote endpoint. The task creation response contains the authoritative charge.
What happens when analysis fails?
The page shows the failure and Star Task applies its normal refund policy. The browser does not deduct or refund points itself.
Can I use the prompt in any image model?
It is a reusable starting point, but model vocabularies differ. Adjust syntax, aspect ratio, negative prompting, and reference settings for your target model.
Translate a visual reference into creative direction
Upload one image, inspect the structured analysis, and adapt the result into an original generation brief.
Open the image analysis workspace