
Brand-safe image restyle and rights-clearance studio
Reduce tool switching and manual cleanup while keeping the source image's intent and clearing rights before use.
- For
- Designers, illustrators and content teams producing derivative visuals from supplied images
- Solves
- Turning an existing image into a customized or copyright-safe visual requires several separate tools, manual cleanup and uncertain rights review.
- Delivers
- Reviewer-approved derivative visuals with a rights record
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $13,500 for the MVP, $46,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce tool switching and manual cleanup while keeping the source image's intent and clearing rights before use.
- Upload an existing image as the starting point.
- Analyze the source image's objects, patterns, colors and context.
- Generate a fresh image from the uploaded source.
- Keep the new image visually consistent with the original.
- Transform images through plain-language commands.
- Apply user commands down to the last pixel.
- Offer prebuilt styles such as pop art, oil painting and comics.
- Let users adjust parameters to refine the result.
- Upscale images for clarity and detail.
- Convert static photos into animated videos.
- Produce lifelike facial close-ups.
- Infuse the user's own style into any image in a few clicks.
- Preserve original texts and captions inside the image.
- Produce legally distinct versions free from copyright restrictions.
- Generate a detailed breakdown and prompt description of the new image.
- Support photos, doodles, storyboards and screenshots.
- Generate new images in seconds for rapid iteration.
- Remove brand and trademark references from generated content.
Everything these tools do, in one app
- Image upload Lets the user upload an existing image to start from.Found in Synthesys X, Synthesys X², No More Copyright
- AI image analysis Examines the source image's objects, patterns, colors, and context.Found in Synthesys X
- Generates new visuals Creates a fresh image based on the uploaded source image.Found in Synthesys X, Synthesys X², No More Copyright
- Visual coherence Keeps the new image visually consistent with the original.Found in Synthesys X, No More Copyright
- Natural language prompts Transforms images by typing plain-language commands.Found in Synthesys X
- Precise command following Applies user commands down to the last pixel.Found in Synthesys X
- Style options Offers prebuilt styles like pop art, oil painting, and comics.Found in Synthesys X
- Parameter adjustment Lets users tweak settings to refine the generated result.Found in Synthesys X
- Image upscaling Enhances image clarity and detail.Found in Synthesys X²
- Photo to video Converts static photos into animated videos.Found in Synthesys X²
- Face close-ups Produces lifelike facial close-ups.Found in Synthesys X²
- Style personalization Infuses the user's unique style into any image with a few clicks.Found in Synthesys X²
- Text preservation Keeps original texts and captions within the image.Found in Synthesys X²
- Copyright-free output Produces legally distinct versions free from copyright restrictions.Found in No More Copyright
- Prompt description Generates a detailed breakdown and prompt description of the new image.Found in No More Copyright
- Input variety Supports photos, doodles, storyboards, and screenshots.Found in No More Copyright
- Fast generation Produces new images in seconds for rapid iteration.Found in No More Copyright
- Brand removal Removes brand and trademark references from generated content.Found in No More Copyright
What goes in, what comes out
- Licensed source images
- Brand rules
- Style references
- Usage constraints
AI drafts, people review. Visual production platform with managed creative review.
- Reviewer-approved derivative visuals with a rights record
How it works
The workflow
- InStart with
Licensed source images, brand rules, style references and usage constraints
- 1
Confirm the buyer's problem and scope
- 2
Collect licensed source images
- 3
Brand rules
- 4
Style references and usage constraints
- 5
Then follow this sequence: 1
- OutFinish with
Reviewer-approved derivative visuals with a rights record
AI does the heavy lifting, people stay in charge
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed output format and licensed style set; final rights clearance and brand checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Source intake and rights check, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome reviewer-approved derivative visuals with a rights record visible beside its evidence, review state and value baseline.
Accounts and administration
Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
Client-owned image libraries, authorized stock sources and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
6 daysOne buyer segment, one recurring use case; first modules: upload an existing image as the starting point; analyze the source image's objects, patterns, colors and context. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will designers, illustrators and content teams producing derivative visuals from supplied images use it to solve "turning an existing image into a customized or copyright-safe visual requires several separate tools, manual cleanup and uncertain rights review"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted derivative visuals per production hour and corrections after rights review.
- Measure, then decide. Track accepted derivative visuals per production hour and corrections after rights review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Pilot scope: One fixed output format and licensed style set; final rights clearance and brand checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: upload an existing image as the starting point; analyze the source image's objects, patterns, colors and context. Support the third module with operator review: generate a fresh image from the uploaded source. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved derivative visuals with a rights record. Retain the explicit scope boundary: One fixed output format and licensed style set; final rights clearance and brand checks remain human.
What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed output format and licensed style set; final rights clearance and brand checks remain human.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: upload an existing image as the starting point; analyze the source image's objects, patterns, colors and context. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$46,000about 5 weeks of creation time · start with the MVP from $13,500
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $40–$80 | $150–$310 | $190–$390 |
| Full productabout 50 customers | $160–$320 | $2,100–$4,200 | $2,260–$4,520 |
Run it or resell it
For your own team
Designers, illustrators and content teams producing derivative visuals from supplied images run it inside the business: licensed source images, brand rules, style references and usage constraints in, reviewer-approved derivative visuals with a rights record out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#914f27 - accent
#5493c9 - surface
#f1e9e4 - ink
#22201e
- Headings
- Playfair Display
- Text
- Source Sans 3
- Voice
- Confident, visual, craft-proud
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test a USD 300-1,500 fixed pilot for one defined asset package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved derivative visuals with a rights record. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.
Message to test
Reduce tool switching and manual cleanup while keeping the source image's intent and clearing rights before use. Demonstrate a concrete reviewer-approved derivative visuals with a rights record using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Designers, illustrators and content teams producing derivative visuals from supplied images professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample reviewer-approved derivative visuals with a rights record from a small authorized input set, with a transparent calculation of accepted derivative visuals per production hour and corrections after rights review and no promised savings.
The first 30 days
- Week 1: interview five designers, illustrators and content teams producing derivative visuals from supplied images and inspect a recent example of turning an existing image into a customized or copyright-safe visual requires several separate tools, manual cleanup and uncertain rights review.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure accepted derivative visuals per production hour and corrections after rights review, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.
Paid pilot
Agree quality and outcome thresholds before the pilot using this measure: Accepted derivative visuals per production hour and corrections after rights review. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.
Success metrics
Accepted derivative visuals per production hour and corrections after rights review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs reviewer-approved derivative visuals with a rights record. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.
Why clients would pick it
A reusable library of approved styles, production constraints and review examples, together with reliable delivery for a narrow creative niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for designers, illustrators and content teams producing derivative visuals from supplied images. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
Synthesys X, Synthesys X², No More Copyright, freelancers, creative agencies and generic generation tools. Compare this product with the buyer's present method on accepted derivative visuals per production hour and corrections after rights review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Generation attempts, video or image processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved derivative visuals with a rights record. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve source attribution, style permissions and usage rights. Rights reviewers approve substantive changes and publication scope. One fixed output format and licensed style set; final rights clearance and brand checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.