Content focuses on morning routines like Dinacharya (daily self-care) and tongue scraping.

The technical complexity of visual deepfakes varies widely, but researchers generally group them into five distinct categories of manipulation:

Historical figures can be "brought back to life" to deliver lectures or share testimonies.

While deepfakes are becoming more realistic, they still leave subtle clues that a trained eye can catch. Look for these inconsistencies:

: This network evaluates the generated content against real photos or video clips to spot flaws or signs of manipulation.

However, users should approach these tools with realistic expectations. A study examining 37 web-based deepfake detection tools found that while photo detection tools are the most reliable (with several achieving weighted scores above 80 percent), video detection tools demonstrate only moderate effectiveness. No tool is foolproof, and detection accuracy varies significantly depending on the sophistication of the deepfake.

For high-risk users (whistleblowers, lawyers), an is available where the software runs entirely on your local machine without internet access.