Memes are the language of the internet – but they can also hide hate speech, harassment, and harmful content in text overlays. Our AI extracts and analyzes text embedded in meme images, detecting policy violations that image-only moderation would miss.
Try Free DemoMemes present a unique moderation challenge because their meaning often comes from the combination of image and text. A harmless image can be paired with hateful text. Common meme templates can be weaponized with slurs hidden in text overlays. Harassment can be delivered through custom images with victim-targeted text.
Traditional image moderation that only analyzes visual content misses these text-based violations. Text-only moderation can't see the images. Effective meme moderation requires understanding both – the image, the text, and how they work together to communicate meaning.
Our meme moderation API combines advanced OCR to extract text from any image with natural language understanding to detect hate speech, slurs, harassment, and policy violations across 50+ languages.
Extract text from any image including stylized fonts, impact text, handwritten text, and text at difficult angles or in complex backgrounds.
Detect slurs, hate speech, discriminatory language, and extremist messaging in extracted text across 50+ languages.
Identify targeted harassment, bullying language, and personal attacks in meme text that may reference specific individuals.
Identify known harmful meme templates and formats that have been associated with harassment campaigns or hate groups.
Combined analysis of both image content and text to understand context and catch violations that only appear in the combination.
Detect violations in 50+ languages including non-Latin scripts, enabling global meme moderation at scale.
Moderate memes shared in feeds, stories, and comments where they're a primary form of communication.
Screen memes shared in direct messages and group chats to prevent harassment and hate speech.
Moderate memes in Discord servers and online communities where meme sharing is constant.
Screen image attachments in news site and forum comments for policy violations.
Moderate meme submissions for contests, campaigns, and user-generated content features.
Ensure memes appearing near advertising meet brand safety standards.
Add meme moderation with text extraction to your content pipeline with our simple API.
# Python example for meme moderation with OCR import requests def moderate_meme(image_url, api_key): response = requests.post( "https://api.imagemoderationapi.com/v1/moderate", headers={"Authorization": f"Bearer {api_key}"}, json={ "image_url": image_url, "models": ["nsfw", "violence", "hate"], "ocr": { "enabled": True, "analyze_text": ["hate_speech", "profanity", "harassment"] } } ) result = response.json() # Check both image and text violations if result["hate_symbol_detected"] or result["ocr"]["hate_speech"]: return {"action": "block", "reason": "hate_content"} return {"action": "allow", "extracted_text": result["ocr"]["text"]}
Yes. Our OCR handles Impact font, stylized text, handwritten text, text on complex backgrounds, curved text, and most visual text presentations found in memes.
While AI has limitations with nuanced irony, we focus on detecting clear policy violations like slurs, threats, and explicit hate speech. Borderline content can be routed for human review.
We support text extraction and hate speech detection in 50+ languages including non-Latin scripts like Chinese, Japanese, Korean, Arabic, Hebrew, and Cyrillic alphabets.
Yes. We maintain a database of known harmful meme templates and formats that have been associated with harassment campaigns, hate movements, or coordinated abuse.
Catch text-based violations that image-only moderation misses. Start your free trial today.
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