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GLOSSARY

By Valmera Editorial · Published · Updated

Auto Reframe

Auto reframe is the automatic conversion of a video from one aspect ratio to another, in which software decides where the new frame sits over the original picture instead of an editor placing and keyframing the crop by hand. It finds the important content in each shot (usually a face, otherwise an object or the most detailed region), places the crop window over it and, in some tools, moves the window as the subject moves. It is a crop, not generation: a 9:16 window taken from 16:9 footage keeps 31.6% of the width. Better implementations also decide when not to crop, and fit the whole frame over bars or a blurred backdrop instead.

What a Crop Keeps

Keep the full height of a 16:9 frame and the widest window you can take for each target is fixed by arithmetic. The share of width kept is simply the target ratio divided by the source ratio.

ConversionCrop window from 1920×1080Width keptWidth discarded
16:9 → 9:16608×108031.6%68.4%
16:9 → 4:5864×108045%55%
16:9 → 1:11080×108056.25%43.75%

Fitting is the opposite trade: the whole picture survives, but a 16:9 shot fitted into a 9:16 frame fills only 31.6% of it. Nothing outside the original frame was ever recorded, so every conversion gives up either picture or screen area. The full ratio math is in the aspect ratio entry.

The job itself is old. When widescreen films were shown on 4:3 television, a telecine operator chose, shot by shot, which part of the frame to keep and slid the window when the action moved. That was pan and scan, and 2.39:1 to 4:3 keeps about 56% of the width. Going from 16:9 to 9:16 keeps 31.6%, so the modern version is harsher.

How Auto Reframe Works

Implementations differ, but the serious ones share four stages. Google’s AutoFlip, open-sourced on MediaPipe in 2020, is the clearest published example.

1. Split the video into shots

A crop must never slide across a cut, or the viewer sees camera movement with no cause, so every decision is made per shot. AutoFlip detects shot changes by comparing each frame’s color histogram with the frames before it. Reframing is only as good as its shot detection.

2. Find what matters in the frame

Detectors for faces, objects and on-screen text run on sampled, downscaled frames; AutoFlip analyses one frame every 200 ms at 480 pixels wide. Each signal is marked required (it must stay in frame) or best-effort. For dialogue, the hard part is active-speaker detection: a face detector says where the faces are, not who is talking.

3. Place the crop, or plan a path

Re-centering on the subject every frame makes the picture jitter, because detections are noisy and heads move constantly. Good implementations hold still unless the subject really travels (AutoFlip keeps the window fixed when the salient content stays within half the frame width across the shot) and otherwise solve a smooth path of holds, pans and eases, the way a camera operator would.

4. Decide whether to crop at all

If the content that matters can’t fit inside the crop window at any position, cropping fails, and the right answer is to fit the whole frame over bars or a blurred copy of itself. Many tools skip this stage, and it is where most bad vertical edits come from: game HUDs, interfaces and slides cut in half.

Crop or Fit: When Each Is Right

ModeWhat it doesWhat it costsRight when
Static cropOne fixed window for the shot68.4% of the width (16:9 → 9:16)A subject who holds position: a seated talking head, a locked-off product shot
Tracking cropThe window follows the subjectThe same width, plus the risk of camera moves the shot never hadA subject who travels: a presenter walking a stage, a ball in play
Pad (bars)Whole frame fitted with black bars68.4% of a 9:16 frame is emptyArchive or client footage whose composition must stay intact
Blurred padWhole frame over a blurred copy of itselfSame area, but the screen reads as fullContent that runs edge to edge: gameplay, screen recordings, slides, wide scenes

Tracking is not automatically better than a static crop. A window that re-centers on every small head movement adds camera motion the shot never had; the test is whether the subject actually leaves the window. Between the two pads, bars read as a letterbox, while a blurred copy of the frame reads as a full screen. Neither adds real picture.

Where Auto Reframe Goes Wrong

  • The wrong person. The largest face is often the listener, not the speaker. Speaker turns from audio or the transcript, or a manual override, fix it.
  • Content that runs to the edges. Cropping gameplay, a screen recording or a slide doesn’t reframe it; it truncates it. Fit those shots.
  • Two people too far apart. In 1920×1080 the 9:16 window is 608 pixels wide. Two people seated a third and two thirds across the frame are 640 pixels apart, so no crop holds both. The answers are edits: cut between a crop on each speaker, or fit the shot with room for a headline and captions.
  • Captions burned in too early. Burned-in captions added before the reframe get cropped with the picture. Add them after, laid out for the new frame.
  • One pass treated as final. Every serious tool presents the result as a starting point to review shot by shot.

How Valmera Does It

In Valmera you type “make it 9:16” and the agent reframes the footage you kept. It finds faces in the pixels, confirmed across up to about 180 indexed frames, and aims the crop at them. It measures the subject in each camera shot and re-aims the crop at every cut. When a crop would keep less than 55% of the picture’s detail, as with gameplay, slides or screen recordings, it fits the shot over a blurred copy of itself instead. When two people share a shot, it fits and flags it, then sets a crop position for each speaker section from the speaker-labeled transcript and the frames, for you to check in the preview.

The crop never pans to follow movement within a shot: these are per-section crop positions, not continuous motion tracking. Padding is always bars or your own footage blurred. Each choice is stored in the edit decision list, so any crop can be moved or undone. The modes, prompts and resolution details are on the auto reframe tool page.

Frequently Asked Questions

Auto reframe is the automatic conversion of a video to a new aspect ratio, where software decides where the crop window sits instead of an editor placing it by hand. It finds the important content in each shot, usually a face, and aims the crop at it. Good implementations also fit the whole frame over bars or a blurred backdrop when cropping would cut off important content.
A crop is a window you place once. Auto reframe decides where to place it by analysing the picture, decides again for each shot, and in better tools decides whether a crop is the right operation at all.
The cost comes from the geometry. A 9:16 crop of a 1920×1080 frame is a 608×1080 window, 31.6% of the original width, and showing it at 1080×1920 means enlarging it. Fitting keeps the whole picture but fills only 31.6% of a 9:16 frame. No tool recovers picture outside the original frame; shooting 4K gives a 1215×2160 window instead.
Adobe Premiere Pro has Auto Reframe (since version 14.0 in 2019) with Slower Motion, Default and Faster Motion settings and editable keyframes. Final Cut Pro has Smart Conform (since 10.4.9). DaVinci Resolve Studio has Smart Reframe, with Auto and Reference Point modes. Google open-sourced AutoFlip on MediaPipe in 2020. Clipping tools such as OpusClip and agentic editors such as Valmera include it too.
Face detection says where faces are, not who is talking. Many tools take the largest or most confident face, and the listener is often closer to the camera than the speaker. Fixing it takes active-speaker detection or speaker turns from the transcript, or a manual override.
Some tools solve a smooth crop path within a shot; others hold one position per shot and re-aim at cuts. Valmera does the latter: it re-aims at every camera cut and per speaker section, but never pans to follow movement within a shot.

Made with Valmera: real exports

Reframe by Describing the Platform

Upload a landscape video, ask for 9:16, and the agent decides shot by shot whether to crop or fit. Creating an account and uploading are free. Editing requires a subscription.

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