Data as of Aug 25, 2026 · Based on 273 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
Brands AI recommends here
The industry standard for general project needs. It is best for balancing enhanced sharpness with natural results through specialized models designed minimize artificial-looking textures and hallucinations.
VideoProcSource | Citation share |
|---|---|
AI Video Upscaler – Improve Video Quality Instantly Online | Topaz Labshttps://www.topazlabs.com/tools/video-upscale | 2.6% |
10 Best Free & Paid AI Video Upscaling Software (2026)https://www.videoproc.com/video-editor/ai-video-upscaling.htm | 2.2% |
 12 Best Free AI Video Upscaling Software in 2026 (Tested & Scored)https://unifab.ai/resource/free-ai-video-upscaling-software | 2.1% |
 8 Best AI Video Upscalers for High Resolution (2025)https://www.elegantthemes.com/blog/business/best-ai-video-upscalers | 1.9% |
Topaz Videohttps://www.topazlabs.com/topaz-video | 1.3% |
 What is the best video upscaler besides Topaz? - Reddithttps://www.reddit.com/r/StableDiffusion/comments/1ledzsc/what_is_the_best_video_upscaler_besides_topaz/ | 1.2% |
Best AI video upscaler : r/softwarehttps://www.reddit.com/r/software/comments/1g22t7f/best_ai_video_upscaler/ | 1.1% |
 22 Best AI Video Upscalers for Sharper Footage in 2026https://visionvix.com/best-ai-video-upscalers/ | 1.1% |
 6 Best AI Video Upscalers to Enhance Video Quality in 2026https://www.cyberlink.com/blog/the-top-video-editors/1287/video-quality-enhancer | 1.1% |
AI Video Upscaler Tool to Improve Video Resolution Instantly - Zurnifyhttps://zurnify.com/ai-video-upscaler-tool-to-improve-video-resolution-instantly/ | 1.1% |
Finding a video upscaler that sharpens without inventing fake details (hallucinating) or creating boiling/flickering artifacts is tricky because aggressive AI models love to "guess" pixel data. To completely avoid hallucinations, you want a tool that relies on conservative restoration, structural upscaling, or traditional multi-frame algorithms rather than heavy generative AI.
The best options available that prioritize detail retention and minimal artifacting include:
Pro-Tips to Prevent AI Hallucinations in Any Upscaler:
If you want to narrow this down, tell me:
If your priority is “make it sharper, but don’t invent details”, I’d avoid the most aggressive generative/diffusion upscalers.
topazlabs.com is probably the best fit for what you described. Its precision-oriented models are specifically designed to improve existing information rather than reconstructing new content.
For your goal, I’d use:
For a normal 1080p → 4K upscale:
Proteus Natural → 4K → 2× → minimal/no additional sharpening.
Then compare a 5–10 second preview at 100% playback, especially looking at:
Don't judge only by a paused frame. A model can make a single frame look fantastic while producing texture shimmer/flicker when played.
If you want more sharpness after Proteus Natural, I'd try Theia Fine Tune Fidelity rather than jumping to a generative model. Topaz specifically distinguishes Fidelity as the more artifact-conscious option.
One important caveat: no AI upscaler can guarantee zero hallucination when the source contains information that simply isn't there. The trick is to use a conservative/precision model and accept slightly less dramatic sharpness in exchange for fidelity.
If you tell me your source resolution/quality (e.g. VHS, 480p YouTube, 720p, 1080p), target resolution, and whether it's faces, film, animation, gameplay, or ordinary camera footage, I can give you the exact model/settings I'd use.
Yes. If your priority is “make it sharper, but don’t invent weird textures, faces, or edges,” I’d prioritize conservative/precision upscaling over the most aggressive AI models.
topazlabs.com is probably the best fit for what you described.
The key is which model you use:
If you really dislike AI-looking results, I wouldn't start with the most aggressive diffusion/generative upscalers. They can make footage look spectacular in a still frame while introducing details that weren't actually present.
Instead, think:
original information → denoise/deartifact → modest sharpening → upscale
rather than:
low-resolution image → AI guesses what should be there → highly detailed-looking image
Topaz describes its “precision” models as refining existing information rather than reconstructing new detail, which is much closer to what you're asking for.
DaVinci Resolve Studio's Super Scale is another good conservative option, particularly when the source is already clean. It's generally less aggressive than dedicated AI restoration, so you may get less dramatic detail recovery but fewer invented details.
My ranking for your specific requirement:
One important caveat: no upscaler can guarantee zero hallucination when the source genuinely lacks information. The trick is to keep the enhancement conservative and judge the result while the video is playing, not just by looking at a particularly impressive still frame.
If you tell me the source resolution/quality (e.g. VHS, 480p, 720p, 1080p), target resolution, and whether it's faces/people, film, animation, or general footage, I can give you the exact safest settings.
DaVinci Resolve Studio's Super Scale is another good conservative option, particularly when the source is already clean. It's generally less aggressive than dedicated AI restoration, so you may get less dramatic detail recovery but fewer invented details.
Finding an AI upscaler that strictly enhances real details without "hallucinating" (inventing fake textures, morphing faces, or creating boiling/flickering pixel noise) is the holy grail of video restoration. Aggressive AI models try to "guess" what a face or texture looks like, which creates that plastic, uncanny look.
To minimize artifacts and hallucinations, you want an upscaler with conservative, specialized models or non-generative scaling algorithms.
To help narrow down the exact tool for your project, tell me:
If your primary goal is avoiding the "plastic/waxy skin," "melting text," or "hallucinated features" that plague aggressive AI upscalers, you need software that prioritizes fidelity and temporal stability over aggressive generative guessing.
The best options on the market depend on whether you want a dedicated desktop tool with manual model controls or a quick browser solution:
Pro-Tips to Eliminate Hallucinations & Artifacts:
To help narrow down the exact tool for you:
If your priority is “make it sharper, but don’t invent fake detail”, I would avoid the most aggressive AI enhancement modes. Any AI upscaler is estimating missing pixels, so the safest choices are models designed for fidelity/restoration, not “wow” detail generation.
My ranking for your goal:
| Rank | Upscaler | Why |
|---|---|---|
| 1 | Topaz Labs Video AI — Proteus / Proteus Natural-style conservative settings | Best balance of sharpening, cleanup, and control. You can dial down detail recovery so it does not fabricate textures. parse.gl |
| 2 | Blackmagic Design DaVinci Resolve Studio Super Scale | More conservative; good when you want a natural result rather than maximum “AI crispness.” parse.gl |
| 3 | SeedVR2 | Strong restoration option, especially for damaged/low-quality footage, but requires a more technical workflow. docs.comfy.org |
| 4 | Real-ESRGAN / Video2X | Good free option, but it can oversharpen or exaggerate textures on poor sources. parse.gl |
| 5 | Traditional resize (Lanczos in FFmpeg, etc.) | Zero hallucination, but it cannot recover lost detail. |
For Topaz-style AI upscaling:
Avoid settings that produce:
A good rule: if a setting makes the video look more detailed than the original could plausibly contain, it is probably hallucinating.
My pick:
If you tell me the source (VHS, DVD, YouTube, phone video, 720p, 1080p, etc.) and target (1080p/4K), I can suggest the safest model/settings.
If your priority is “make it sharper, but don’t invent details”, I’d avoid the most aggressive generative/diffusion upscalers. No AI upscaler can literally guarantee zero hallucination, but some are much more conservative.
1. Topaz Video — best overall for realistic footage
I’d start with Proteus Natural or Proteus Fine Tune. Topaz specifically describes Proteus Natural as respecting the source, reducing artifacts/halos, and avoiding distorted or warped details. It is intentionally less aggressive than models designed to maximize apparent detail.
For maximum fidelity, Theia → Fine Tune Fidelity is also interesting: Topaz says this mode prioritizes consistent detail and artifact reduction, whereas its Fine Tune Detail mode can introduce frame-to-frame differences that look like artifacts.
Settings I'd try:
Topaz itself warns that pushing things like compression removal and detail enhancement too hard can introduce artifacts and distortions.
2. Video2X + Real-ESRGAN — best free/open-source option
Video2X supports Real-ESRGAN and runs locally on Windows/Linux. github.com Real-ESRGAN is a good choice when you want cleaner edges and existing texture rather than an extremely “AI-generated” look.
I'd favor 2× Real-ESRGAN over 4× for real-world footage. Higher scaling gives the model more opportunity to guess what missing information should look like.
| Your footage | Recommendation |
|---|---|
| Normal camera/video, people | Topaz Proteus Natural |
| Old/compressed footage | Topaz Artemis or Proteus, conservatively |
| Already-good 1080p → 4K | Topaz Artemis HQ |
| Maximum fidelity/detail control | Topaz Theia – Fine Tune Fidelity |
| Free + local | Video2X + Real-ESRGAN |
| Anime/animation | Video2X + Real-ESRGAN/Anime4K |
For 1080p → 4K specifically, Topaz currently recommends Artemis High Quality, which is designed to reduce compression artifacts/noise while recovering detail and sharpening.
If “no hallucinations” is your #1 requirement, my personal choice would be Topaz Video with Proteus Natural at 2×, followed by a very mild conventional sharpening pass. That tends to be a better philosophy than asking an aggressive AI model to “recover” details that simply aren't present.
If you tell me your source resolution (e.g. 480p/720p/1080p), type of footage (faces, film, surveillance, anime, etc.), target resolution, and whether you're on Windows/Mac, I can give you the exact safest settings.
If you want to upscale video while strictly avoiding AI "hallucinations" (the dreaded plastic skin, warped text, or shifting facial features), you have to balance fidelity vs. invention . All AI upscalers add some synthesized data when multiplying pixels, but certain tools and specific settings minimize this entirely.
Top options tailored for sharp details without aggressive hallucinations include:
Golden Rules to Prevent Artifacts:
To help narrow down the right choice, tell me:
If your priority is “make it sharper, but don’t invent details”, I’d strongly recommend Topaz Video, specifically its more conservative models.
Topaz Video — Proteus Natural ⭐ Best match
It is explicitly designed to preserve the source rather than aggressively reinterpret it. Topaz says it reduces compression artifacts and halos, avoids over-sharpening, and is designed not to distort or warp original details. It was also introduced specifically to address issues where the regular Proteus could make textures look “crunchy” or distort small faces. developer.topazlabs.com
Topaz Video
Topaz Video — Theia Fine Tune Fidelity
If you want controlled sharpening/detail recovery, this is particularly interesting. The “Fidelity” mode prioritizes stable, consistent detail with reduced artifacts, whereas its more aggressive Detail mode can introduce frame-to-frame variation.
DaVinci Resolve Studio — Super Scale
A good alternative if you already use Resolve. Its Enhanced Super Scale modes let you manually control Sharpness and Noise Reduction, which is useful when you want to avoid letting an AI model get too creative.
I'd be cautious with the newest generative/diffusion-style upscalers if your requirement is fidelity. They can produce a prettier image while subtly changing faces, textures, lettering, foliage, etc. That's exactly the kind of “hallucination” you're trying to avoid.
Even within Topaz, I wouldn't automatically choose the sharpest model. Proteus Natural → mild sharpening is a much better philosophy for archival footage than “maximum detail.”
Original → Proteus Natural → 2× upscale → minimal sharpening → compare at 100% → export
And don't assume that 4× is better than 2×. If the source is, say, 720p, a restrained 2× upscale can look considerably more authentic than trying to manufacture a 4K image.
If you tell me what your source video is (e.g. VHS, old DVD, 720p YouTube, 1080p phone footage, surveillance, animation, film) and what resolution you want, I can give you the exact model/settings I'd use to minimize hallucinated detail.
To sharpen video details without introducing AI hallucinations, fake textures, or plastic-looking artifacts, you need to use precision-focused restoration models rather than generative AI models (which deliberately invent details).
The primary options that prioritize pixel fidelity and temporal consistency over creative re-imagination include:
Topized Precision Models (Commercial)
Open-Source Local Models (Free)
Best Practices to Avoid Hallucinations
If you want to narrow this down, let me know:
