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Topaz Video AI SDR to HDR: How to Convert SDR Videos to HDR with AI

hitpaw editor in chief By Daniel Walker
Last Updated: 2026-08-10 15:07:40

Converting standard dynamic range (SDR) footage into high dynamic range (HDR) has historically required painstaking color grading and manual luminance curve tweaking. Today, deep learning algorithms make dynamic range expansion automatic. Topaz Video AI SDR to HDR workflows leverage specialized neural networks to analyze video frames, reconstruct lost highlight detail, expand color bit depth, and map Rec. 709 colors to wide BT. 2020 spaces. This article provides a comprehensive overview of how to convert Rec 709 to Rec 2020 Topaz, optimal Topaz Video AI HDR settings, export configurations, and alternative AI video enhancement platforms for professional results.

Part 1: What Is Topaz Video AI SDR to HDR?

Topaz Video AI SDR to HDR is an advanced AI driven feature designed to convert standard dynamic range video into wide color gamut high dynamic range content. By intelligently reconstructing highlights and expanding color bit depth, it breathes new life into legacy video archives and digital media.

what is topaz video ai sdr to hdr

Key Features of Topaz Video AI for SDR to HDR

  • AI Inverse Tone Mapping Topaz: Intelligently predicts highlight luminance levels based on contextual scene analysis without clipping midtones.
  • Color Depth Expansion: Converts 8 bit Rec. 709 source video into true 10 bit or 12 bit Rec. 2020 color space.
  • Custom Parameter Tuning: Offers user fine tuning for exposure offset, saturation expansion, and highlight clipping thresholds.
  • Integrated Enhancement Pipeline: Combines SDR to HDR conversion with spatial upscaling, de-noising, and de-interlacing models in a single pass.
  • Flexible Transfer Functions: Supports output in Perceptual Quantizer (PQ / ST. 2084) for film and Hybrid Log-Gamma (HLG) for broadcast workflows.

Part 2. How Topaz Video AI Converts SDR to HDR: The Hyperion Engine

The technical foundation of Topaz Video AI SDR to HDR relies on the proprietary Topaz Video AI Hyperion model. This specialized neural network replaces simple linear contrast adjustments with contextual, frame by frame scene reconstruction to achieve natural visual depth.

1. What Is the Hyperion AI Model?

The Hyperion model serves as Topaz Video AI's dedicated engine for AI dynamic range expansion. Unlike traditional tone mapping plugins that apply global contrast curves across an entire video, Hyperion evaluates spatial features, lighting vectors, and color distributions frame by frame. It recognizes specular highlights such as streetlights, sun reflections, or stadium floodlights and selectively increases their brightness up to thousands of nits while holding shadow values firm. This intelligent segregation prevents midtones from becoming washed out and avoids crushing dark ambient details.

topaz hyperion

2. Key HDR Transfer Functions: PQ vs. HLG

  • Perceptual Quantizer (PQ / ST. 2084): Designed around human visual perception to target absolute luminance levels up to 10,000 nits. PQ is the foundation of modern digital cinema, UHD Blu-ray, and streaming services like Netflix or Amazon Prime (HDR10).
  • Hybrid Log-Gamma (HLG): Developed by the BBC and NHK for broadcast television. HLG combines logarithmic curves for bright highlights with standard gamma curves for shadows, ensuring backward compatibility with SDR displays.
  • When to Pick Which: Select PQ when producing cinematic videos, short films, or high end web content destined for consumer HDR displays. Choose HLG when preparing broadcast feeds or when backward compatibility on legacy displays is required.

Part 3. How to Convert SDR Footage to HDR in Topaz Video AI?

Converting video requires a structured workflow to maintain image integrity and avoid color artifacting. Follow this step-by-step Topaz SDR to HDR tutorial to achieve clean results.

1. Convert SDR to HDR in Topaz Video AI (Step-by-Step)

  • Step 1.Open Topaz Video AI and click Browse, or drag and drop your target MP4, MOV, or ProRes file into the clip view. You can find the SDR-to-HDR mode in the upper screen right side of the application within the "Control Sidebar".

    topaz video ai sdr to hdr model
  • Step 2.Click in the sider button for the SDR to HDR to enable and reveal a drop down menu. Select "Hyperion" from the SDR to HDR section in the right control sidebar.

    turn on sdr to hdr
  • Step 3.Verify input color space: Confirm Topaz reads it as Rec. 709 / SDR in the video information metadata box.

  • Step 4.Choose output color space: HDR10 (Rec. 2020 + PQ) is the default choice and works seamlessly on most modern HDR displays and TVs.

  • Step 5.Adjust Hyperion intensity: Modify controls if you want a conservative result. The default setting offers a balanced output, while the Custom slider lets you pull back saturation or lower exposure.

  • Step 6.Export configuration: Choose 10-bit HEVC codec, BT. 2020 color space, an MP4/MOV/MKV container, and set a target bitrate $\ge$ 50 Mbps for 1080p HDR.

  • Step 7.Click Export and verify output on an HDR-capable display: Execute Topaz Video AI export HDR10 rendering. Never judge HDR contrast or color accuracy on a standard SDR monitor, as unmanaged displays render HDR curves washed out or flat.

2. Topaz Video AI SDR to HDR Settings Reference Matrix

Source Footage TypeAI Model IntegrationTransfer FunctionExposure OffsetSaturation BoostHighlight ThresholdTarget Codec / Bitrate
Archival / Camcorder (480i / 1080i)Dione (Deinterlace) + HyperionHLG0.000.100.75ProRes 422 HQ (10-bit)
Standard Compressed Web Video (1080p)Proteus (Auto Denoise) + HyperionPQ (ST. 2084)0.000.150.70HEVC 10-bit ($\ge$ 50 Mbps)
High Bitrate Rec. 709 DSLR FootageGaia / Standard + HyperionPQ (ST. 2084)0.100.250.65ProRes 4444 (12-bit)
Landscape / Bright Outdoor ClipArtemis Clean + HyperionPQ (ST. 2084)0.050.200.70HEVC 10-bit ($\ge$ 80 Mbps)

3. Best Practices & Common Pitfalls in AI HDR Up-Mapping

Follow these three core principles for parameter tuning and pre-processing to ensure optimal SDR-to-HDR conversion quality:

  • Control Color Saturation: Avoid over-expanding the wide color gamut. Keep the Boost Saturation slider within the 0.10 to 0.40 range. Setting values above 0.40 often introduces unnatural color shifts and clipping in primary color channels.
  • Protect Skin Tones & Faces: Pay close attention to the Highlight Threshold parameter. Setting this between 0.70 and 0.80 prevents facial highlights from glowing unrealistically or suffering from unwanted color shifts.
  • De-interlace Source Footage First: Never apply SDR-to-HDR processing directly to interlaced (480i/1080i) source files. Always run a de-interlacing pass first; otherwise, scanline artifacts will be baked into and amplified by the expanded HDR brightness range.

Part 4. Topaz Video AI SDR to HDR Performance Tests

To evaluate this tool, we tested it using three real-world clip types across different lighting setups and resolutions to analyze luminance expansion, detail preservation, and rendering stability.

To evaluate this tool, we tested it using various source materials, including:

  • 8 bit Rec. 709 1080p DSLR footage recorded in backlit outdoor sunlight.
  • Heavily compressed archival MP4 video containing dark indoor shadows.
  • 4K SDR cinematic video featuring artificial streetlights and neon signs.
topaz video ai sdr to hdr performance

We focused on peak luminance accuracy, color banding suppression, skin tone naturalness, and total rendering times on modern GPU hardware. Based on our testing, this tool stood out for its intelligent highlight recovery and deep local contrast preservation without introducing muddy shadow noise. It consistently delivered better results in shadow detail recovery and highlight control, which is why we included it in this list.

Part 5. Topaz Video AI SDR to HDR Pricing & Trial (2026 Subscription)

In late 2025, Topaz Labs transitioned away from perpetual licensing to a subscription model. The current pricing options structure full access to local GPU processing, updates, and the Hyperion engine.

PlanPriceIncludes Hyperion (SDR to HDR)?Commercial Rights
Personal Subscription$299 / yearYesLimited / Personal Use
Pro Subscription$699 / yearYesFull Commercial Rights Included

Part 6. Topaz Video AI SDR to HDR: Pros and Cons

While Topaz Video AI delivers industry leading image reconstruction, evaluating its strengths against potential workflow limitations helps set accurate expectations before buying a subscription.

pros icon Pros

  • Outstanding highlight recovery that creates authentic HDR specular pop.
  • Seamless multi model pipelines combining upscaling, frame rate expansion, and HDR in one render.
  • Flexible parameter controls for fine tuning exposure offsets and saturation boosts.
  • Comprehensive output support for both cinematic PQ and broadcast HLG standards.
  • Native local rendering processes keep confidential video files on your system without mandatory cloud uploads.
  • During our hands-on tests, converting night scenes featuring bright neon signage produced zero color clipping around glowing light edges.

cons icon Cons

  • Heavy computational demand requires high end workstation GPUs for acceptable export speeds.
  • The software transition to an annual subscription lock out model increases long term costs for casual users.
  • Previews appear washed out on non-HDR computer monitors, making calibration difficult without reference hardware.
  • Under our test conditions with low-bitrate 8-bit files, aggressive brightness boosts sometimes amplified hidden compression artifacts.

Part 7. Best Alternative to Topaz Video AI for SDR to HDR Conversion

For creators seeking a more accessible or budget friendly SDR to HDR AI converter, HitPaw VikPea offers an intuitive alternative. It combines automated color conversion modules with powerful video quality repair engines, making dynamic range expansion straightforward for video editors of all skill levels.

Its SDR to HDR Model intelligently converts standard dynamic range (SDR) footage into HDR-like visuals. It enhances contrast, luminance range, and color depth, giving your video a more vivid, cinematic look.

  • SDR to HDR AI Model: Intelligently expands standard dynamic range video into vibrant, high contrast wide color gamut HDR visuals.
  • AI Video Enhancer: Restores lost textures and sharpens blurry digital edges across low resolution media automatically.
  • Low Light Video Recovery: Intelligently brightens underexposed night scenes while reducing digital grain and sensor noise.
  • Dedicated AI Colorizer Engine: Converts black and white legacy footage into natural, color accurate modern video files.
  • One-Click 4K/8K Upscaling: Upscales videos to high definition 4K or 8K resolution while preserving image details.

Comparison Between Topaz Video AI and HitPaw VikPea

Feature / DimensionTopaz Video AIHitPaw VikPea
Primary SDR to HDR EngineTopaz Video AI Hyperion modelSpecialized SDR to HDR AI Model
Interface ComplexityHigh (Pro model tweaks & transfer function picks)Low (Intuitive one click preset controls)
Color Space ControlManual PQ / HLG / Rec. 2020 selectionsAutomated Rec. 2020 color curve mapping
System Hardware RequirementsHigh GPU demand (RTX 3080/4080 recommended)Moderate GPU demand (Runs on mid-range PCs)
Pricing StructureAnnual Subscription ($299/yr Personal)Flexible Monthly / Yearly / Lifetime Options

How to Convert SDR to HDR with HitPaw VikPea AI

  • Step 1.Download and install HitPaw VikPea on your computer. Run VikPea after installing, click on AI Color and then click on SDR to HDR Model. Import the low-res videos you want to convert to HDR.

    ai color
  • Step 2.Drag the slider to adjust the exposure level. The Exposure Adjustment slider in the SDR to HDR model lets you fine-tune the brightness level of your video after the dynamic range has been enhanced.

    adjusting exposure controls
  • Step 3.Under Export Settings, choose your desired resolution. VikPea supports upscaling up to 4K or 8K. Preview the changes to see a side-by-side before-and-after comparison. Click on "Export" to transfer your color-balanced video to your computer.

    sdr to hdr

Frequently Asked Questions About Topaz Video AI SDR to HDR

Yes, Topaz Video AI uses its Hyperion deep learning model to perform AI Inverse Tone Mapping. It expands 8-bit Rec. 709 color depth to 10-bit Rec. 2020, predicting specular highlight brightness to construct authentic HDR content.

Topaz Video AI directly supports exporting HDR10 compliant video using Rec. 2020 color primaries with PQ (ST. 2084) or HLG transfer functions. However, it does not currently generate dynamic metadata required for proprietary Dolby Vision formats.

Topaz Video AI leads the market for professional editors requiring deep control over transfer functions and model combinations. For users looking for a simpler workflow on mid-range hardware, HitPaw VikPea is an excellent alternative.

While AI cannot invent missing camera sensor metadata, Topaz interpolates 8-bit values into 10-bit or 12-bit color spaces. It creates smooth luminance gradients that eliminate visible color banding across wide brightness ranges.

If YouTube renders your HDR export flat, the file is likely missing metadata container tags. Ensure you export in 10-bit HEVC or ProRes with Rec. 2020 primaries and ST. 2084 PQ transfer flags enabled so YouTube recognizes it.

Yes, running the Hyperion AI engine demands intensive GPU computation. Combining Hyperion with spatial upscaling or de-noising filters increases overall processing times compared to standard SDR rendering passes.

Conclusion

Upgrading standard definition and SDR video archives to modern HDR standards no longer requires manual curve adjustments or professional color suites. Using the Topaz Video AI Hyperion model, editors can execute Inverse Tone Mapping Topaz workflows that expand bit depth, enhance highlight detail, and convert Rec. 709 footage to Rec. 2020 color spaces seamlessly. By selecting the right transfer functions, balancing exposure settings, and exporting with 10-bit HEVC or ProRes codecs, you can unlock stunning cinematic visuals across all your legacy video projects.

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