Sample upload
A sample-upload page gives SEO traffic an immediate action: test a file, inspect a sample report, or continue into API integration.
Report example
Sample upload result
- Media received
- Modality selected
- Evidence pending
- Private result
Search intent
Sample upload conversion for detector pages
Primary evidence
Input modality, Confidence score, Evidence indicators
Recommended action
Use confidence scores with source context, policy thresholds, and human review.
Supported inputs
The workflow should make modality choice explicit so visitors understand the multimodal positioning.
- Text
- Image
- Audio
- Video
- Code
Result format
The scanner should return evidence that can be read by a reviewer, analyst, or developer.
- Score
- Indicators
- Metadata
- Explanation
Privacy handling
Upload pages need clear retention and safety language before users submit sensitive media.
- Retention note
- Consent warning
- Private by default
- Report sharing controls
Use cases
Detector traffic conversion
Product-led evaluation
Enterprise proof-of-concept
Sample report preview
Media preview
Safe sample, redacted upload, or generated demonstration asset.
Public reports should only expose media that is lawful, consented, and safe to publish.
Confidence
Scan queued
Media received
Evidence item linked to score calibration, source context, and known uncertainty.
Modality selected
Evidence item linked to score calibration, source context, and known uncertainty.
Evidence pending
Evidence item linked to score calibration, source context, and known uncertainty.
Private result
Evidence item linked to score calibration, source context, and known uncertainty.
Evaluation table
| Criterion | What to check | Why it matters |
|---|---|---|
| Coverage | Text, image, audio, video, code. | Synthetic media risk rarely stays in one format. |
| Explainability | Score, indicators, timestamps, metadata, limitations. | Reviewers need evidence, not a black-box verdict. |
| Accuracy risk | False positives, false negatives, calibration. | High-impact workflows require documented uncertainty. |
| Workflow fit | API, batch, reports, retention, reviewer queues. | Search traffic must convert into a usable product path. |
Methodology and limitations
How to read the score
Detection output should be read as calibrated evidence. A high score means the observed signals are consistent with synthetic or manipulated media under the current model and sample conditions. It does not prove authorship, intent, or model attribution by itself.
Where review is required
Short samples, heavy editing, compression, translation, re-recording, mixed human-AI content, and unseen generators can reduce confidence. Use human review, source context, and policy thresholds before high-impact enforcement.
Next step
Match the action to the visitor intent: detector pages should lead to a scan, research pages to a downloadable report, enterprise pages to a demo, and developer pages to API keys or playground examples.
FAQ
Are uploads public?
No. Uploads should be private by default. Public reports require an explicit publish workflow.
Can users test without an account?
The landing page can route to samples, while production scanning can require app authentication.
Why add this page?
It gives commercial SEO pages a direct conversion action aligned with detector intent.