NSFW Image Describer
Turns a flagged image into a plain, factual write-up a moderator can act on without opening it again.
What the NSFW Image Describer does
Reviewing flagged uploads all day takes a toll, and so does writing up each one. The describer is built for people who do that work: moderators, trust and safety teams, and platform operators who need a record of what an image contains without staring at it longer than necessary. Upload an image and it returns a clinical write-up: what category the content falls into, what elements are present, and how severe the concern looks on a simple scale. The wording stays professional and non-explicit throughout, so the description itself is safe to paste into a ticket, a report, or a training log. It is meant for adults working a moderation queue, not for entertainment.
See a sample result
Input: A close-up photo of a pink neon sign reading "send nudes" in cursive script, mounted on a brick wall in a dim room.
- explicit nudity2%
- sexual activity1%
- suggestive text or symbols78%
- safe for general audiences55%
Content category: Text-based, sexually suggestive signage. No nudity or explicit imagery present in the frame.
What is visible: A neon light fixture spelling out a sexually suggestive phrase in cursive lettering, mounted on an exposed brick wall. The room is dimly lit, and the sign is the only light source in the shot. No people, body parts, or sexual acts appear anywhere in the image.
Moderation notes: The content is decorative wall art referencing a sexual phrase rather than depicting sexual activity. It would typically fall under mild suggestive content rather than explicit material, depending on platform policy toward sexual language in imagery.
Escalation: Low priority. Suitable for standard review queues rather than urgent escalation.
How it works
- 1
Upload the flagged image
Add the image that needs a written record. It can come from a report queue, an upload filter, or a manual review batch.
- 2
The model reads the content, not just the pixels
It looks at what is depicted, the setting, and any text or signage in frame, then sorts the content into a moderation category rather than a subjective judgment call.
- 3
You get a factual writeup
The result names the category, lists what is visibly present, and flags anything that needs escalation, using clinical language throughout instead of descriptive or narrative prose.
- 4
Concern level comes attached
A severity note travels with the description so a reviewer can triage a queue without opening every image at full size first.
Use cases
Trust and safety triage
A moderation team runs incoming reports through the tool to get a written summary before a human reviewer opens the original file, cutting down repeated exposure to disturbing material.
Documentation for appeals
When a user disputes a takedown, a clinical description of what the image contained gives the review team something concrete to reference instead of relying on memory.
Dataset labeling
Teams building or auditing a moderation classifier use the descriptions as a starting point for labels, then adjust the category by hand where the model's read is ambiguous.
Policy training material
New moderators review sample descriptions and severity notes to understand where a platform draws lines between suggestive, explicit, and acceptable content.
Tips for better results
- Use images that are already part of a legitimate moderation workflow, not personal collections.
- Treat the severity note as a starting point for triage, not a final policy decision.
- Pair the description with your own platform's guidelines, since thresholds for what counts as explicit vary by service.
- For batches, run one image at a time so each writeup stays tied to a specific report or ticket.
Limitations
This tool is built for adults working in content moderation, not general entertainment use. Descriptions are informational and clinical by design: they will not produce explicit or sexual prose, and any request aimed at generating that kind of content will be refused. Judgment calls about ambiguous images, context, consent, or age still require a trained human reviewer; treat the category and severity note as a first pass, not a final ruling. Automated reads can miscategorize edge cases such as artistic nudity, medical imagery, or text-only content, so always apply your platform's own policy on top of the result.
Frequently asked questions
Will the description contain explicit language?
No. Output stays clinical and non-explicit, describing category, elements, and setting without sexual narrative or graphic detail.
Who is this tool actually for?
Moderators, trust and safety staff, platform operators, and researchers who need a written record of flagged content, not casual browsing.
Can it replace a human moderator?
No. It produces a fast first read to support triage and documentation, but final decisions on takedowns or bans should still involve a trained reviewer.
What does the severity score mean?
It is a rough indicator of how far the content sits from general-audience material, meant to help sort a queue, not a legal or policy determination.
What happens to the images I upload?
The image is sent to the model to generate the description. The privacy policy linked in the site footer explains what is kept and for how long, so check it before running sensitive material.
What should I do with content that may be illegal?
Don't upload it. This tool is for adult content moderation only. Anything that may involve minors or other illegal material should go straight to your platform's legal escalation path and the proper reporting channels.
Plans start at $9 a month. See pricing