How to Make a Video With AI
This guide walks through every step of creating an AI-generated video, from your initial concept through final export. Whether you are making your first AI video or looking to improve your existing workflow, following these steps produces consistently better results than jumping straight into generation without preparation.
Step 1: Choose Your AI Video Tool
The first decision is which AI video generator to use, and this depends on what kind of video you need to make. Each major tool has a distinct strength that makes it the best choice for specific use cases.
If you want the most realistic footage with synchronized audio, start with Google Veo 3.1. Access it through Google AI Studio with a free Google account. The quality is the highest available, and the native audio generation means your clips come with matching sound effects, which saves a production step.
If you need cinematic footage with natural human motion, Kling 3.0 is the strongest choice. It excels at scenes with people, producing facial expressions and body movement that look genuinely filmed rather than generated. The free tier gives you 6 clips per day, enough to work through this tutorial without paying anything.
If you need precise control over camera angles and motion, Runway Gen-4.5 gives you tools no other platform offers. You can specify exact camera movements, paint motion onto specific parts of the frame, and lock character appearance across clips.
If you need a talking-head presenter delivering a script, HeyGen creates avatar-based videos where a digital person speaks your text with natural lip sync. This is a different workflow from the clip-generation approach the other tools use.
For your first AI video, using a free tier is the right approach. You can evaluate the tool's output against your specific needs without any financial commitment. If the free tier's limitations become a problem, that is a clear signal that upgrading to a paid plan would be worthwhile.
Step 2: Plan Your Video Concept
Jumping straight into prompting without a plan produces scattered, incoherent results. Even a simple plan dramatically improves the final product. Before writing any prompts, answer these questions:
What is the video about? Define the core topic or message in one sentence. This clarity guides every prompt you write.
Who is the audience? A video for corporate stakeholders looks different from one targeting social media followers. The audience determines tone, pacing, and visual style.
What is the visual style? Decide whether you want photorealistic footage, cinematic drama, abstract visuals, or something stylized. Consistency in style across all clips is what makes a finished video feel professional.
How many scenes do you need? Break your video into individual scenes or shots. A typical 60-second social media video might need 6 to 10 individual clips of 5 to 10 seconds each. A 3-minute explainer might need 15 to 20 clips. Writing this shot list before generating anything keeps your production organized.
What input type will you use? Decide whether you will generate footage from text prompts, animate existing images, or combine both approaches. If you have product photos, brand imagery, or illustrations you want to include, image-to-video generation gives you more control over those specific elements.
Step 3: Write Effective Prompts
Prompt quality is the single biggest factor in output quality, regardless of which tool you use. A vague prompt like "a beautiful sunset" gives the model too much freedom, producing generic results. A specific prompt like "golden hour sunset over a calm ocean, shot from a low angle at the shoreline, gentle waves lapping at wet sand, warm amber and pink tones, slow camera dolly forward, cinematic anamorphic lens flare" tells the model exactly what you want and consistently produces better output.
Effective prompts include several elements: Subject (what appears in the scene), setting (where the scene takes place), lighting (time of day, light quality, color temperature), camera (angle, movement, lens characteristics), motion (what moves and how), mood (the emotional feel of the scene), and style (photorealistic, cinematic, animated, etc.).
Negative prompting, describing what should not appear, is also effective. Adding "no text overlays, no watermarks, no blurry elements, no artificial lighting" to your prompt helps the model avoid common unwanted artifacts.
Each AI model responds to prompts differently. Veo tends to interpret prompts literally, following every detail closely. Kling adds cinematic flair even when not requested, enhancing scenes with dramatic lighting. Runway responds well to professional film terminology. Testing a few prompts on your chosen tool and adjusting your language based on what it produces best is more effective than following a universal prompt formula.
Step 4: Generate and Select Clips
AI video generation is inherently probabilistic. The same prompt produces slightly different results each time, and not every generation will be usable. Professional AI video creators typically generate 3 to 5 variations of each scene and select the strongest one. This selection process is where human creative judgment matters most.
When evaluating generated clips, look for: physical accuracy (do objects move and interact realistically?), visual consistency (are colors, lighting, and proportions stable throughout the clip?), motion quality (is movement smooth or jerky?), artifact presence (are there visible distortions, flickering, or unnatural elements?), and prompt adherence (does the clip actually show what you described?).
Save your best generations immediately. Most platforms do not retain generated clips indefinitely, and regenerating a clip you liked but did not save can be impossible since the same prompt will not produce the same output twice. Download your selections to local storage as you work rather than waiting until the end of a generation session.
If a prompt consistently produces unsatisfactory results after 3 to 5 attempts, the prompt itself is likely the problem. Rewrite it with more specificity, different language, or a simplified scene description. Breaking a complex scene into simpler elements and compositing them in editing is often more effective than trying to generate everything in a single complex prompt.
Step 5: Edit and Assemble Your Video
Individual AI clips are raw material, not finished videos. Even the highest quality clips need assembly editing to become a coherent video. Import your selected clips into a video editor. Any editor works for basic assembly: DaVinci Resolve (free), CapCut (free), Premiere Pro, or Final Cut Pro.
Arrange clips in the sequence defined by your shot list from Step 2. Trim the beginning and end of each clip to remove any generation artifacts that commonly appear in the first and last few frames. Add transitions between clips, though simple cuts are often more effective than flashy transitions for AI-generated footage since they draw less attention to the joins between generated scenes.
Adjust the pacing by varying clip lengths. Faster cuts create energy and urgency, while longer clips create a contemplative or dramatic feel. Match the pacing to your content and audience expectations. Social media content generally benefits from faster pacing, while educational or narrative content benefits from giving each scene time to register with the viewer.
Color grading across all clips ensures visual consistency. Even when using the same prompt style, different generations may have slightly different color temperatures or contrast levels. Applying a consistent color grade unifies the visual feel and makes the assembled video look intentional rather than randomly compiled.
Step 6: Add Audio and Final Polish
Audio is at least half of the viewing experience, and adding appropriate audio transforms AI clips from interesting visuals into engaging content. If your tool generates native audio (Veo 3.1, Seedance 2.0), you already have a foundation. If your clips are silent, this step is essential.
Voiceover: If your video needs narration, record it yourself or use an AI voice generator. Tools like ElevenLabs, PlayHT, and Amazon Polly produce natural-sounding narration from text. Match the voice style to your content: conversational for social media, professional for business content, warm for storytelling.
Music: Background music sets the emotional tone. AI music generators like Suno and Udio can create custom tracks that match your video's mood and duration. Royalty-free music libraries are another option if you prefer licensed human-created music. Keep music volume low enough that it supports rather than competes with narration or visual focus.
Sound effects: Subtle sound effects matched to visual events (a door closing, footsteps, ambient outdoor sounds) add realism and immersion. Free sound effect libraries provide thousands of clips for common sounds. Use them sparingly, since too many effects feel artificial.
Captions: Adding text captions improves accessibility and engagement, particularly for social media where many viewers watch without audio. AI captioning tools can transcribe your voiceover automatically, or you can add styled text overlays manually for key points.
Export your finished video in the format required by your publishing platform. For YouTube, 1080p or 4K in MP4 format with H.264 or H.265 encoding is standard. For social media, match the platform's preferred aspect ratio (9:16 for Shorts, Reels, and TikTok; 1:1 or 16:9 for feed posts). Export at the highest quality your platform supports, since compression during upload will reduce quality from there.
The quality of AI-generated video depends more on preparation and prompt writing than on which tool you use. Plan your concept, write detailed prompts, generate multiple options, and invest time in editing and audio. The generation step is only one part of a production workflow that starts with planning and ends with polished output.