> For the complete documentation index, see [llms.txt](https://user-manual.imagetwin.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://user-manual.imagetwin.ai/frequently-asked-questions/readme.md).

# Frequently Asked Questions

<button type="button" class="button primary" data-action="ask" data-icon="gitbook-assistant">How does ... work?</button><a href="https://imagetwin.ai/contact/" class="button primary" data-icon="paper-plane">Contact support</a>

#### <mark style="color:$primary;">Pricing and Support</mark>

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<summary>What pricing options does Imagetwin offer?</summary>

Three tracks: one-off purchases for occasional use, and yearly plans for teams. One-off: €29 for a single scan, down to €10/scan on the 50-scan bundle (€499). Yearly plans start at Essentials (€999/yr, 200 scans, up to 10 users) up to Pro (€3,499/yr, 1,000 scans, up to 50 users, SSO). Enterprise is custom-priced for unlimited scans, users, and API integration.

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<summary>What does one scan include?</summary>

One PDF or up to 25 individual images, including all sub-images within figures.

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<summary>What if I only need it once?</summary>

One-off bundles (single scan up to 50-scan bundle) work with no ongoing commitment. Scans are valid for 12 months from purchase.

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<summary>Do you offer volume or institutional pricing?</summary>

Yes. Discounted per-scan rates apply on yearly plans, and Enterprise plans offer custom pricing for high-volume or institution-wide use, reach out to <contact@imagetwin.ai> to discuss.

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<summary>What support is included?</summary>

All users get customer support. Professional and Enterprise plan users also get a dedicated Account Manager.

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<summary>Can I get a demo or trial?</summary>

Yes, reach out to <contact@imagetwin.ai> or schedule a live demo at <https://imagetwin.ai/contact/>.

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#### <mark style="color:$primary;">What Imagetwin Detects</mark>

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<summary>What types of issues does Imagetwin detect?</summary>

Duplications within a manuscript, duplications against published literature (plagiarism), image manipulations (splicing, copy-move forgeries), and AI-generated images.

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<summary>How does duplicate and plagiarism detection work?</summary>

Imagetwin detects exact duplicates, cropped/resized reuse, rotated or flipped images, brightness/contrast adjustments, and cloned regions, both within a manuscript and against a database of 160M+ published figures. Matches are flagged with bounding boxes, keypoints, a confidence score (0–100%).

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<summary>How does manipulation detection work?</summary>

Currently applied to western blot images, it detects splicing and copy-move forgeries using a colour-coded heatmap, shown in a three-panel view (original, filtered, heatmap). Other image types are covered by duplication and plagiarism detection.

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<summary>How does AI-image detection work?</summary>

Deep learning models trained on scientific images assign a confidence score for AI generation and identify the likely source model (DALL-E, GPT, Firefly, Stable Diffusion). Applied to microscopy, histology, western blots, cell cultures, and spot images. Detection still works on cropped, resized, or colour-adjusted images, though heavy edits reduce confidence.

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#### <mark style="color:$primary;">Data Security and Reporting</mark>

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<summary>Is my data secure with Imagetwin?</summary>

Yes. All uploads are encrypted, never added to Imagetwin's global database, and automatically deleted once processing completes.

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<summary>Can I generate a report of the results?</summary>

Yes. Imagetwin produces structured PDF reports summarizing flagged issues, usable for manuscript submission, internal review, or compliance documentation.

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#### <mark style="color:$primary;">Getting Started, Integrations & Use Cases</mark>

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<summary>How do I get access to Imagetwin?</summary>

Create an account and start scanning immediately, free example documents are available to try first.

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<summary>Does Imagetwin integrate with existing workflows?</summary>

Yes, including peer-review and publishing platforms such as ScholarOne, Morressier, and TNQ Technologies. An API is also available, documented for technical integration, with support on hand.

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<summary>Can Imagetwin be used for pre-submission checks, investigations, and grant applications?</summary>

Yes, Imagetwin supports pre-submission screening, post-publication reviews, misconduct/ethics investigations, and grant application checks, for individual researchers as well as institutional and publisher workflows.

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<summary>Where can I find support or discuss a custom plan?</summary>

Contact us through <https://imagetwin.ai/contact/>, for support questions or to discuss high-volume/institutional scanning plans.

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