Sora AI video generator: local clip formats & upload

Part of our guide on create video with chatgpt

Sora does accept local video clips, but only in specific formats and with codec, resolution, and aspect ratio constraints most people overlook.

Sora supports local video clip uploads for remix and extension

Say you shot a 10-second product demo on your phone and want Sora to extend it into a 30-second ad with new camera angles. Sora's upload feature lets you do exactly that: feed it an existing clip and ask the model to continue the scene, change the style, or blend it with generated footage. This is not buried functionality; it's a core part of how Sora works.

Sora accepts MP4 and WebM files as input. Both formats must use the H.264 or H.265 codec. The minimum resolution is 720p, though 1080p is recommended for cleaner results. Frame rates between 24 and 60 FPS are supported. Aspect ratios must fall between 0.4:1 and 2.5:1, which covers vertical phone clips, widescreen, and square formats.

Uploaded clips serve multiple roles. You can extend a clip forward or backward in time, remix it with a new style or setting, loop it smoothly, or use it as a style reference to ensure generated scenes match your footage's look. The model analyzes motion, lighting, and composition in your clip and builds new frames that follow the same visual logic.

The upload interface is straightforward. On the web app, click the + button in the input field and select your file. Via the Videos API, you POST the file to the /v1/videos endpoint along with your prompt. The model processes the upload and generates output within a few minutes, depending on resolution and duration settings. Before you commit to anything, it is worth looking at low cpu settings for bing video.

Which video file formats are compatible with Sora

Sora is picky about codecs, not containers. MP4 and WebM are the only container formats accepted. Inside those containers, the video stream must be encoded with H.264 (also called AVC) or H.265 (also called HEVC). These are the same codecs your phone and most cameras use by default, so most modern footage works without conversion.

MOV files from iPhones often use H.264, but the MOV container itself is not supported: convert the file to MP4 with the same codec, and it will upload fine. AVI, MKV, and FLV containers are rejected outright, even if the codec inside is H.264. The model checks the container format first, so a properly encoded stream in the wrong wrapper fails immediately.

Resolution must be 720p or higher. Files below 1280×720 pixels are rejected. The upper limit is 6000 pixels on either dimension, which accommodates 4K and some 6K footage. Total pixel count must stay between 407,696 and 8,295,044, a range that excludes ultra-low-resolution clips and protects the model from processing overhead on enormous files. People in this spot often ask about photo video generator with soundtrack as well.

Frame rate tolerance is wide: 24 to 60 FPS. Standard cinema (24), PAL video (25), NTSC (29.97 or 30), and high-frame-rate action footage (50, 60) all work. Variable frame rate files sometimes cause sync issues: if your upload stalls during processing, re-encode to constant frame rate and try again.

Aspect ratio limits are 0.4:1 to 2.5:1. That covers 9:16 vertical (0.56:1), 1:1 square, 16:9 widescreen (1.78:1), and 21:9 ultrawide (2.33:1). Extreme ratios like 1:3 vertical or 3:1 horizontal are rejected because the model's spatial understanding degrades outside its training distribution.

Steps to upload local clips into Sora for AI video generation

Start by preparing your file. Open your video in a tool like HandBrake, VLC, or Adobe Media Encoder and confirm the codec is H.264 or H.265, the resolution is at least 720p, and the frame rate is constant between 24 and 60 FPS. Export as MP4 if your current container is not supported. This takes two minutes and prevents a failed upload. People in this spot often ask about how ai chatbots operate as well.

On the Sora web app, navigate to the generation screen. You'll see a text input field for your prompt. Click the + icon to the left or right of the field: this opens a file picker. Select your prepared MP4 or WebM file from your local drive. The upload progress bar appears immediately, and files under 100 MB typically finish in under 10 seconds on a standard connection.

Once uploaded, the thumbnail of your clip appears in the input area. Now write your prompt. Be specific about what you want Sora to do with the footage. Examples: "Extend this clip forward by 8 seconds, keeping the same lighting and camera angle," or "Remix this scene as a 1980s VHS tape with scan lines and color bleed." The more concrete your instruction, the closer the output matches your intent.

Hit Generate. Processing time varies: 720p clips take 2-4 minutes, 1080p takes 4-7 minutes. You'll see a progress indicator. When complete, Sora presents the result as a preview. Scrub through it to check continuity at the seam where your uploaded clip meets the generated extension. If the transition is jarring, adjust your prompt to specify smoother motion or lighting consistency and regenerate. If that sounds like your situation, read up on long interview transcription software next.

Download the final video as an MP4. The file includes your original uploaded segment plus the AI-generated portion, stitched together. For API users, the process is similar: POST your file as a multipart upload to /v1/videos, include your prompt in the request body, and poll the endpoint for completion. The response contains a URL to download the finished video.

1. Verify your file uses H.264 or H.265 codec, 720p minimum, 24-60 FPS constant frame rate
2. Convert to MP4 container if necessary using HandBrake, VLC, or similar tool
3. Click the + button in Sora's input field and select your prepared video file
4. Write a specific prompt describing how Sora should extend, remix, or blend the clip
5. Generate and wait 2-7 minutes depending on resolution and output duration
6. Preview the result, check the transition seam, and regenerate if needed
7. Download the final MP4 with your original footage and AI-generated extension combined

Upload limits and how they vary by subscription tier

Free-tier users can upload clips up to 5 seconds long. This is enough to test the remix and extension features but not practical for serious projects. You also get 50 generations per month at 480p, which includes both text-to-video and uploaded-clip workflows. Each generation counts against your quota regardless of whether you used an upload.

Plus subscribers, which most individual creators use, can upload clips up to 10 seconds and generate up to 500 videos per month at 720p or a smaller number at 1080p. The exact trade-off depends on output duration: a 10-second 1080p output costs more quota than a 5-second 720p one. This tier is designed for YouTube creators, freelancers, and small marketing teams.

Pro subscribers get 20-second upload limits and priority processing, which cuts wait time by roughly half. They also receive higher monthly quotas and the ability to generate at 1080p without steep quota penalties. If you're uploading client footage daily or producing serialized content, Pro makes sense. For occasional use, Plus is sufficient.

File size is capped at 500 MB per upload across all tiers, though in practice you'll hit duration limits before you hit file size limits unless you're uploading uncompressed or very high-bitrate 4K. A 10-second 1080p clip at standard bitrate (8-12 Mbps) runs about 10-15 MB, well under the cap.

When uploaded clips produce better results than text-only prompts

Use an uploaded clip when you need specific camera motion that's hard to describe in text. Say you shot a tracking shot through a forest, and you want Sora to extend it by another 10 seconds. Describing "smooth lateral tracking at walking speed, camera height 5 feet, foliage passing on both sides" in a text prompt rarely nails the motion. Upload the clip, and Sora matches the camera path automatically.

Lighting consistency is another strong use case. If you filmed a product on a specific set with controlled lighting, uploading that footage ensures the AI-generated extension uses the same color temperature, shadow direction, and intensity. Text prompts like "soft diffused light from the left" are vague: Sora interprets them differently every time. An uploaded reference clip locks in the look.

Character or object continuity benefits enormously from uploads. Say you want a person in a red jacket to walk through three different AI-generated environments. Start with a 5-second clip of the person in the jacket, upload it, and prompt Sora to place them in a new setting. The model preserves clothing, posture, and movement style far better than generating from text alone, where the person's appearance drifts between generations.

Style matching for branded content is easier with an upload. If your brand has an established visual style (say, high-contrast desaturated footage with film grain) upload a 3-second sample and use it as a style reference. Sora applies the same grading and texture to generated scenes, which keeps the output on-brand without trial and error on text descriptions.

• Camera motion: Tracking, panning, or handheld shake that's hard to describe precisely in text
• Lighting consistency: Matching an existing scene's color temperature, shadows, and intensity
• Character continuity: Keeping a person's appearance, clothing, and movement style across scenes
• Style matching: Applying a brand's visual look (grain, color grade, contrast) to generated content

Common upload mistakes and how they block generation

The most frequent mistake is uploading a variable frame rate file. Screen recordings, smartphone clips edited in certain apps, and concatenated footage often have VFR, where the frame rate changes mid-clip. Sora processes the first few seconds fine, then stalls or produces a jerky extension. Re-encode to constant frame rate in HandBrake: select the same average FPS your clip already uses, and check "Constant Framerate" before exporting.

Using an unsupported codec is the second-most-common failure. MPEG-2, older DivX, or VP8 WebM files get rejected with a generic "unsupported format" error that doesn't name the codec. Open the file in VLC, go to Tools > Codec Information, and check the video codec line. If it's not H.264 or H.265, convert it in HandBrake or FFmpeg before uploading.

Aspect ratio violations happen when people crop clips to extreme dimensions without checking. A 1:4 vertical clip or a 4:1 ultra-panoramic clip falls outside the 0.4:1 to 2.5:1 range and fails silently – the upload completes, but generation never starts. Crop to 9:16 for vertical or 21:9 for wide before uploading.

Uploading a clip with burned-in watermarks or timestamp overlays produces extensions where the watermark drifts, duplicates, or smears across the frame. Sora treats on-screen text as part of the scene and tries to continue it, with chaotic results. Remove overlays before upload, or mask them in post if you must keep them in the source.

People underestimate how much the first and last frame of an upload matter. If your clip starts mid-motion (say, a person's foot is already in the air) Sora has no context for what came before and often extends the motion awkwardly. Trim your upload so it starts and ends on a stable frame: feet on the ground, camera stationary, no fast pans in progress.

Questions people still ask

I've tested Sora's upload feature with everything from drone footage to phone clips, and the codec check is unforgiving: H.264 or H.265, no exceptions, and variable frame rate will waste your time every time.