Runway vs Manus for Recruitment Videos: 5-Video Test Shows Trade-offs

Smart Eight compared five 15-second recruitment videos created with AI video generators Runway and Manus, using video models Seedance 2.5, Veo 3.1, and MiniMax H3. Runway produced more natural-looking people with finer details like hair strands, while Manus required less effort by handling text overlays and finishing the video end-to-end. Text added by the AI itself frequently appeared distorted—only one of five attempts rendered correctly—making post-production text overlay the safer approach.

Key points

• Runway videos showed more natural-looking people when the same character appeared across scenes, with finer facial details and hair rendering
• Manus handled the full workflow including narration, music, and text overlays from a single short prompt, while Runway required scene-by-scene instructions and separate text editing
• AI-generated text overlays distorted in 4 of 5 tests ("Staff Recruitng" instead of "Staff Recruiting"), making manual addition safer for company names and key messages
• The same video model (Seedance 2.5) produced different results depending on whether the initial character was defined by a still image or text prompt alone
• Passing a still image to the video model preserved the character's appearance across both Manus and Runway when instructed not to change face, hair, or clothing

How to use it

• If you have in-house video editing capability, use Runway with scene-by-scene prompts (specifying duration and actions for each segment) and add text overlays in post-production to avoid distortion
• If no editing resources are available, use Manus to generate the full video including narration and music, then overlay only the final company name and recruitment text using basic editing software
• When consistency matters, create a still image of your character first and pass it to the video model with instructions not to alter the face, hairstyle, or clothing
• Test one video with your actual company name and verify text rendering before committing to production, as distortion patterns vary by content

Question to the community

Has anyone tested these or similar video generators for business content—did you run into the same text distortion issues?