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By Valmera Editorial · Published · Updated

Put Text Behind the Subject in a Video

To put text behind a person in a video, upload the footage to Valmera and type “put my name behind me as I walk across at 0:12.” The AI agent cuts the person out of every frame in that window with a video-matting model, draws the words, and lays the person back over the letters, so they pass in front of the title like a sign on the wall behind them.

It is a real depth composite, not a fade or a transparency, and it needs no green screen, rotoscoping or keyframed mask.

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How to Put Text Behind a Subject in Valmera

  1. 1
    Upload footage with a person in it
    MP4, MOV, M4V, MKV or WebM, up to 100 GB and 3 hours. Wider shots where someone crosses the frame work best.
  2. 2
    Say the words and the moment
    “Put VALMERA behind me as I walk across at 0:12, for about 3 seconds,” or describe the shot: “when I step away from the desk.”
  3. 3
    Read the reply
    The agent reports how much of the title the person actually crosses. Near zero means it will look like an ordinary title, so move the text or the window.
  4. 4
    Adjust and export
    Ask for bigger type, a new position or another font, then export a full-resolution MP4 rendered from your original file.
PROMPTS TO PASTE
Put my name behind me as I walk across at 0:12.
The word LAUNCH behind me in Anton, white, for 3 seconds at 0:45.
Move that text left so I cross the middle of it.
Make the behind text bigger. The letters are getting swallowed.

How the Effect Is Built

How text is composited behind a subjectFour stages. One: the original frame, a person in a shot with no cut and no speed change. Two: the words are drawn onto the picture, on top of the person. Three: a grayscale mask, white where the subject is and black everywhere else, measured frame by frame. Four: the masked subject is laid back over the words, so the letters pass behind the person.1 · THE SHOTOne take. No cut,no speed change.2 · THE WORDSBEHINDDrawn ON the picture,over everything.3 · THE MASKGrayscale silhouette,measured every frame.4 · THE DEPTHBEHINDOpaque over the words.Depth, not a fade.The subject’s pixels in step 4 are the render’s own — the mask only says WHERE.That is why a mask measured on a small proxy composites cleanly into a full-resolution export.

The mask comes from a video-matting model that carries information from one frame to the next, so the silhouette holds steady instead of flickering at the edges. It is measured on a lightweight copy for speed, but only the mask is stored: the final render draws the words onto its own full-resolution picture and uses the mask to put your pixels back on top, at source quality.

Settings That Matter

  • Size. Behind-subject titles default to large type, about 2.4 times a normal title. The person should cross the middle of tall letters. If words vanish, go bigger or shorter.
  • Placement. Put the words where the person sweeps through them once, then let the letters re-emerge. Someone standing still in front of a word just hides it.
  • Window. 0.4 to 15 seconds, inside one continuous take. Two to four seconds reads well.
  • Style. The same templates, fonts, colors and entrances as add text to video.
  • What hides the words. People and what they carry. Furniture, walls and parked cars do not.

When Valmera Refuses, and What to Change

Rather than render a broken version, the agent refuses with the reason, changes nothing, and offers a plain title.

ReasonWhat it meansWhat to do
Nobody is in the shotUnder 0.4% of the frame reads as a personPick a moment where someone is on camera, or use a plain title.
The subject fills the frameOver 55% average coverageUse a wider shot where the person crosses the frame.
A cut inside the windowThe window spans two takesShorten it or move it inside one shot.
A speed change over itThe footage is sped up or slowed downRemove the speed change there, or place the words elsewhere.
Too longOver 15 secondsSplit it into shorter placements.
On an inserted clipThe moment plays b-roll, not your footageAim at a moment where your own video is playing.

Common Mistakes

  • Small type. A small line sits entirely inside the body, so whole words disappear. Big type is the look.
  • A close-up. When a person fills the frame there is nowhere for the words to live. Use a wider shot.
  • A zoom or speed change over the window. The mask is tied to the source frames; re-timing or re-framing that footage moves the picture out from under it.
  • Using it on every title. Once or twice per video it reads as production value; on every title it reads as a template.

Limits

People only: objects do not occlude the words. Each placement lasts up to 15 seconds and must sit inside one take of your own footage, with no speed change over it. Very fast motion and loose, fine hair are the hardest edges for any matte; slower movement across the words looks best. The effect needs a main video, so it is not available in a project built only from images.

When to Use Something Else

After Effects' Roto Brush gives frame-level control and can matte objects as well as people, if you know After Effects. DaVinci Resolve's Magic Mask tracks a subject you mark inside a node workflow. CapCut users stack a background-removed copy of the clip over a text layer by hand. Valmera fits when you want the effect from one sentence, with the rest of the edit in the same chat.

Related Tools

A behind-subject title is usually the finishing touch on a shot that is already cut. In the same chat you can remove the silences, add captions, add kinetic typography and reframe for Shorts or Reels. See the TikTok creators and YouTubers workflows, the text and overlays docs, or the AI video editor tour.

Over Valmera's MCP server, the effect is add_text_behind, removed like any other text with remove_text.

Frequently Asked Questions

Upload the footage to Valmera and type "put my name behind me as I walk across at 0:12". The agent cuts the person out of every frame in that window with a video-matting model, draws the words, and lays the person back over them, so they pass in front of the text. No green screen, rotoscoping or mask keyframes.
Yes. The matting model finds the person in each frame and carries information from one frame to the next, so pans, handheld wobble and dark clothes on a dark wall hold steady instead of flickering.
No. The matte is a person matte: people, and whatever they carry, pass in front of the words. Furniture, walls and parked cars do not, so over those the words read as an ordinary title. That trade is what keeps the effect steady frame to frame.
It refuses with the reason so you know what to change: nobody visible in the window, the subject filling more than 55% of the frame, a cut inside the window, a speed change over the footage, a window longer than 15 seconds, or a moment that plays an inserted clip. Nothing is changed, and a plain title is offered instead.
Because big type is what reads as depth. With tall letters the person crosses the middle of the word while the tops and bottoms stay visible, so the eye completes it. A small line sits inside the body and whole words vanish. If letters get lost, make the text bigger or shorter, never smaller.
The words stay attached to the footage they were measured on, so earlier cuts move them along with their shot. If you cut that shot out entirely, the text falls back to an ordinary title rather than disappearing; remove or re-place it.
Creating an account and uploading are free. Editing requires a subscription. Exports are full-resolution H.264 MP4s and end with a brief Valmera end card.

Made with Valmera: real exports

Text Behind the Subject, from One Sentence

Describe the edit, review the preview, export at source quality. Creating an account and uploading are free; editing requires a subscription.

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See pricing →

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