AI video generation and editing
How to use
Haiper.
Creating short video concepts, animating owned images, restyling footage, extending a shot, and repairing selected regions without rebuilding an entire clip.
Haiper is a AI video generation and editing platform for text, images, source video, repainting, and extension. Creating short video concepts, animating owned images, restyling footage, extending a shot, and repairing selected regions without rebuilding an entire clip. This guide covers the whole path in one place: official access, a first session that produces something reviewable, the checks that make output trustworthy, and the permissions worth limiting before you connect real work.
AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.
Access & setup
Find, install, and sign in to Haiper
Get into the official Haiper experience with the right account and a setup you understand.
- 01
Start at https://haiper.ai/ and confirm the domain before entering account or payment information.
- 02
Availability: Haiper is available through its web application and supported iOS experience, with text-to-video, image-to-video, video-to-video, video extension, repainting, keyframes, seeds, and privacy controls.
- 03
A supported account and plan, enough credits for the chosen model and duration, rights to all source media, and current confirmation of privacy, watermark, commercial-use, retention, and sharing settings.
- 04
Sign in with the account you intend to keep using, then review plan, data, notification, and permission settings.
- 05
Run one low-risk test task before connecting sensitive files, repositories, or workspace data.
- Use official download pages.
- Review permissions during setup.
- Keep installers and applications updated.
First session
Your first useful Haiper session
Learn the interaction loop using a small task with a clear outcome.
- 01
Write one shot brief with subject, action, camera, environment, duration, aspect ratio, style, audio, rights, and acceptance criteria.
- 02
Choose text, image, or video input deliberately, review model credit cost and privacy visibility, and confirm your plan's commercial rights.
- 03
Generate a short preview with a recorded seed and simple motion before extending duration or increasing resolution.
- 04
Inspect every frame for identity, anatomy, geometry, motion, flicker, background, audio, artifacts, and disclosure before export.
- State the outcome before the background.
- Provide the real source material.
- Review the result before expanding the task.
Quality control
Check the quality of Haiper output
Turn a promising generation into an asset you can legally and safely ship.
- 01
Restate the brief, the deliverable format, and where the asset will appear before judging any output.
- 02
Inspect at full resolution: generated media hides its errors at thumbnail size.
- 03
Check the details these systems reliably get wrong — hands, text, logos, reflections, symmetry, and edge artefacts.
- 04
Confirm the licence and commercial-use terms for your plan, and check the output does not reproduce a recognisable style, mark, or likeness you have no right to use.
- 05
Review for accessibility and delivery: alt text, contrast, colour profile, file size, and the exact export format.
- Inspect at full resolution before approving anything.
- Confirm commercial-use rights before an asset reaches a client.
- Keep the prompt and settings with the asset so it can be reproduced.
Privacy & permissions
Use Haiper safely
Use the platform without surrendering rights, likenesses, or client material you do not control.
- 01
Confirm you hold the rights to every reference image, voice, or clip before uploading it.
- 02
Check whether your plan trains on submitted content, and opt out before uploading client work.
- 03
Never upload a real person's likeness or voice without their explicit, documented consent.
- 04
Review the output for marks, styles, or likenesses you have no licence to reproduce.
- 05
Label synthetic media where your client, platform, or jurisdiction requires disclosure.
- Image-to-video and video-to-video workflows can alter real people, brands, locations, and copyrighted footage, while repainting and enhancement may invent visual detail. Privacy and commercial rights can depend on plan and visibility settings. Use authorized source media, keep private generations private, record the seed and model, avoid deceptive identity edits, verify generated details frame by frame, and review the current terms before client, advertising, or monetized use.
- Follow your organisation's approved-use policy.
- Never treat fluent output as authorization to act.
Core workflows
Step-by-step ways to use Haiper for the work it does best.
Each workflow below has its own outcome, steps and review checkpoints.
Animate an approved frame with controlled motion, seed, privacy, and quality checks rather than repeated blind generation.
↓ 02 WorkflowRepair and extend a Haiper video with repaintFix one localized defect or extend a shot without letting AI silently redesign correct frames and continuity.
↓Workflow 01
Create a repeatable image-to-video shot in Haiper
Animate an approved frame with controlled motion, seed, privacy, and quality checks rather than repeated blind generation.
Outcome: Produce a short shot whose composition and motion can be reproduced and integrated into an edit.
- 01
Define the shot purpose, duration, aspect ratio, source frame, subject action, camera, environment motion, style, sound, and acceptance criteria.
- 02
Confirm source rights, choose a private visibility setting and authorized plan, select image-to-video, and record the model, seed, settings, and credit cost.
- 03
Prompt one primary subject action and one coherent camera move, generating a low-cost preview before increasing resolution or duration.
- 04
Review identity, anatomy, object geometry, depth, motion, flicker, texture swimming, camera continuity, background, first and last frames, and accidental text.
- 05
Use the seed for controlled revisions, export the approved take, finish sound and typography externally, preserve disclosure, and archive the source and settings.
What good use looks like
- Record model, seed, and settings.
- Use one action and camera move.
- Keep private work out of public galleries.
Workflow 02
Repair and extend a Haiper video with repaint
Fix one localized defect or extend a shot without letting AI silently redesign correct frames and continuity.
Outcome: Create a seamless revision that preserves the approved subject, timing, color, and surrounding footage.
- 01
Preserve the untouched master and mark the exact defective region or extension point, including what must remain unchanged.
- 02
Confirm rights and privacy, trim the smallest useful source segment, and record frame rate, resolution, color, audio, model, seed, and intended export.
- 03
Use repaint with a precise mask and local description, or extension with explicit subject, motion, camera, lighting, and continuity constraints.
- 04
Compare before, during, and after the edit frame by frame for seams, identity drift, geometry, texture, motion, color, noise, audio sync, and changed background detail.
- 05
Composite the accepted revision into the master, recheck the entire shot at normal speed, document the synthetic edit, and complete rights and delivery review.
What good use looks like
- Mask the smallest useful region.
- Preserve an untouched master.
- Review the whole shot after a local edit.
Official references
Check the current product documentation.
Features, plan limits, availability, and data controls change. These official pages are the starting points used for this guide.