Convert Video to DNxHR MOV or MXF

Create editor-friendly DNxHR intermediates locally in your browser — selectable DNxHR tiers, MOV or MXF wrapping, optional downscale, and PCM audio. Nothing is uploaded.

Try:
DNxHR download

About this tool

Use this when an editor, finishing system, or interchange hand-off asks for DNxHD/DNxHR media instead of a small delivery MP4. The output is encoded with ffmpeg's dnxhd encoder as DNxHR and wrapped as either QuickTime .mov or OP1a .mxf, so it is easier for NLEs to scrub, trim, grade, and re-export than long-GOP delivery codecs.

A typical default run takes a camera or phone clip, chooses SQ — default standard-quality edit tier, keeps Container at MOV, leaves Resolution cap at Source size, and writes 16-bit PCM audio. For example, a short MP4 test clip becomes a .mov whose video stream uses the DNxHR SQ profile, yuv422p, and an editor-friendly intra-frame structure.

DNxHR files are intentionally large. Choose LB plus a 720p cap for offline/proxy work, HQX for 10-bit grading, or 444 when a 4:4:4 VFX/keying round trip matters. The page runs locally in the browser; the CLI/chat path caps input at 32 MiB and output at 160 MiB to avoid surprise memory use.

Limits and edge cases

FAQ

Which DNxHR profile should I pick?

Use SQ for everyday online editing, LB for small offline/proxy intermediates, HQ for higher-quality 8-bit 4:2:2, HQX for 10-bit grading, and 444 when 4:4:4 chroma is needed for compositing or keying.

Should I choose MOV or MXF?

Choose MOV when you want the broadest desktop compatibility. Choose MXF when a broadcast/Avid-style interchange workflow expects OP1a MXF files. Both wrappers contain the same DNxHR video essence selected by the profile.

Why does the pixel format field reject some combinations?

DNxHR profiles dictate their pixel format: LB/SQ/HQ use yuv422p, HQX uses yuv422p10le, and 444 uses yuv444p10le. The tool validates that pairing before ffmpeg runs so you get a clear error instead of an opaque encoder failure.

Does converting to DNxHR improve source quality?

No. DNxHR preserves quality well through editing and repeated exports, but it cannot restore detail, dynamic range, or color information that was not present in the source. Use it before editing or finishing, not as a quality enhancer.

Developer & Automation Access

Run it from the terminal

Same engine as this page, headless — via the gizza CLI:

gizza tool video-to-dnxhd 'url=https://example.com/input' 'profile=dnxhr_sq' 'container=mov' 'resolution=source' 'pixel_format=auto' 'audio=pcm16'

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Open it by URL

Pre-fill and auto-run this tool with query parameters — the names match the API/CLI:

https://gizza.ai/tools/video-to-dnxhd/?url=https://example.com/input&profile=dnxhr_sq&container=mov&resolution=source&pixel_format=auto&audio=pcm16

Machine-readable descriptor: tool.json — title + parameters JSON Schema for agents.