Hitpaw Video Enhancer 1.7.1.0

The headline feature of HitPaw 1.7.1.0 is its proprietary AI Face Model.

Unlike generic upscalers (like Gigapixel) that treat every pixel statistically, HitPaw trained a dedicated neural network on thousands of portraits. When you feed it a 240p clip from a 2005 camcorder or a pixelated zoomed-in security camera shot, the software doesn't just stretch the image. It re-draws the facial topology. HitPaw Video Enhancer 1.7.1.0

In practice, this creates a surreal effect: The headline feature of HitPaw 1

For archivists restoring VHS home movies, version 1.7.1.0 was a revelation. It turned "blob faces" into recognizable relatives. For archivists restoring VHS home movies, version 1

If you shot a video in low light (e.g., a birthday party or a concert), the Denoise model is your best friend. Version 1.7.1.0 introduces a secondary pass specifically for digital noise removal. It distinguishes between artistic grain (film noise) and digital artifacts (compression blocks). The result is a clean, smooth image without the "plastic skin" effect of older AI upscalers.

Beyond faces, this version stabilized three distinct AI models:

This is the question every user asks. Topaz Video AI is a scalpel. It gives you manual control over grain, de-interlacing, and motion deblurring. HitPaw 1.7.1.0 is a cookie cutter. You pick the model, press "Export," and hope for the best.

Choose target resolution (e.g., 1080p → 4K) and frame rate settings (keep source framerate unless you need changes).

Adjust enhancement strength (Low/Medium/High) — higher improves quality but increases processing time and risk of artifacts.

Trim start/end if only part needs enhancement.

Set output format and codec (H.264/H.265 for balance of quality and size), choose bitrate (higher for better quality).

Preview a short clip to check results.

Click Start/Export and wait for processing to finish.

Review output; if artifacts appear, try a different model or lower strength, and re-run on the trimmed segment.