Most AI video conversations start and end with the same input: a text prompt. But prompt-only workflows hit a ceiling fast. A director who wants a specific opening frame, a product marketer who needs to animate an existing photo, a creator restyling a live-action clip, or an editor choreographing a transition between two exact moments—none of them can get where they need to go with text alone. The right AI video generator has to accept whatever the creator brings: a sentence, a portrait, a rough video, a keyframe pair, or all of the above.
This roundup ranks ten platforms on input flexibility—what modes they support, how well those modes work, and how much creative control they hand back to the user.
How We Tested
Input flexibility was measured across six dimensions:
- Text-to-video (T2V) — Baseline prompt-driven generation.
- Image-to-video (I2V) — Animating a still image with motion.
- Video-to-video (V2V) — Restyling or transforming existing footage.
- Start/end frame interpolation — Generating a coherent clip between two keyframes.
- Motion and camera reference — Uploading a reference clip to guide movement.
- Multimodal chaining — Combining text, image, audio, and video in a single prompt.
Every platform received the same input matrix: one text prompt, one portrait image, one 5-second reference clip, and one start/end frame pair. What each platform could actually accept—and produce—determined its ranking.
TL;DR: Quick Comparison
| Rank | Platform | Input Modes Supported | Best For |
| 1 | DramaPixel | T2V + I2V + V2V + Start/End Frame | Full-spectrum creative control |
| 2 | Higgsfield | T2V + I2V + Motion Ref + First/Last Frame | Cinematographic input control |
| 3 | Runway AI | T2V + I2V + V2V (Aleph) + Character Ref | Live-footage editing workflows |
| 4 | DeeVid AI | T2V + I2V + V2V + Audio prompt | Multimodal agent workflows |
| 5 | OpenArt | T2V + I2V + Character Builder + Worlds | Environment and character-driven inputs |
| 6 | Picsart | T2V + I2V + V2V across 140+ models | Multi-model input experimentation |
| 7 | Magic Hour | T2V + I2V + V2V + Face Swap | Face-based input workflows |
| 8 | MakeShot | T2V + I2V across broad model catalog | High-volume input iteration |
| 9 | Invideo AI | T2V + Script + Stock library | Script-driven input pipelines |
| 10 | Synthesia | Script + Avatar + Portrait | Avatar-locked delivery |
The Platforms in Detail
1. DramaPixel
DramaPixel is one of the few platforms that treats all four major input modes as first-class citizens rather than checkbox features. Text, image, video, and frame-pair inputs each get dedicated workflows, and each is routed to the model best suited for that mode.
Input capabilities
- Text-to-video — Standard prompt-driven generation across Veo 3.1, Kling V3, Hailuo 2.3, and Wan 2.6, with model routing handled automatically.
- Image-to-video — Upload a still, add motion instructions, and the platform animates it while preserving the subject’s identity.
- Video-to-video — Wan 2.6 handles V2V by retaining the original motion path of an uploaded clip while restyling the visual content. A live-action product demo can become a stylized animation without losing the choreography.
- Start/End Frame interpolation — Upload two keyframes, and the model fills in the natural transition between them. This is the mode most competitors either skip or bury.
Why this matters for creators
Start/end frame control is the mode that unlocks planned choreography. Instead of hoping a prompt produces the right camera move, a creator can lock the opening composition and the closing composition and let the model handle the in-between. For product reveals, character transformations, and scene transitions, it’s a fundamentally different workflow than prompt-only generation.
DramaPixel also includes:
- 100+ pre-built templates that accept any of the four input types
- AI Avatar for portrait-to-spokesperson generation
- AI Music for royalty-free scoring on any generated clip
- AI Video Ads mode for product-image-driven ad output
- Stylized character utilities including a superhero generator for image-based hero design
Plans
- Lite — 300 credits/month, 720p export
- Pro — 600 credits/month, 1080p export
- Premium — 3,200 credits/month, 1080p export with priority processing
All paid tiers include watermark-free export, private generations, and a commercial license.
Strengths
- All four major input modes fully supported
- Start/end frame control is production-grade
- V2V preserves motion path while restyling
- Automatic model routing per input type
Trade-offs
- Lite tier caps export at 720p
- Credit consumption varies by underlying model
Best for
Directors, product marketers, and multi-workflow creators who need every input mode in one workspace.
2. Higgsfield
Higgsfield’s input strength lies in its cinematography-focused reference system. Beyond text and image, the platform accepts motion reference from an uploaded clip, first-and-last-frame pairs for planned transitions, and layered camera-move stacking (up to three moves per generation).
Input capabilities
Text-to-video, image-to-video, motion reference from uploaded video, and first-and-last-frame reference. Cinema Studio 4.0 adds lens choice, focal length, and film-grain simulation as separate input dimensions. Model routing spans Seedance 2.0/2.5, Kling 3.0/o1, Sora 2, Veo 3.1, and Wan 2.7.
Plans
- Starter — 270 credits, no Seedance 2.5
- Plus — 1,200 credits, full Seedance access
- Ultra — 3,000 credits, Nano Banana Pro unlimited
- Team / Scale / Enterprise — seat-based
Advantages
- Motion reference input for movement continuity
- Lens and camera-move inputs beyond prompt text
- First/last frame reference supported natively
Limitations
- No full V2V restyling mode
- Starter tier locks out Seedance 2.5
Best for
Cinematographers using reference clips and lens choices as core inputs.
3. Runway AI
Runway’s input flexibility comes from Aleph 2.0, its video-editing model. Where most platforms treat V2V as a stylization step, Aleph accepts editing instructions—relight this scene, remove that object, swap the backdrop—on real footage. Combined with Character References, it’s the most sophisticated live-footage input system on the market.
Input capabilities
Text-to-video, image-to-video via Gen-4.5, video-to-video via Aleph 2.0, and Character References that lock a specific face across a 10-shot sequence. Lyria 3 and Seed Audio 1.0 add audio inputs for music and dialogue.
Plans
- Free — 125 one-time credits
- Standard — 625 credits/month, 4K upscale
- Pro — 2,250 credits/month, voice cloning, 500GB storage
- Max — 9,500 credits/month, 16-bit HDR, ProRes export, credit rollover
- Enterprise — custom
Advantages
- Aleph 2.0 handles prompt-driven edits on real footage
- Character Reference input across long sequences
- Voice cloning input on Pro
Limitations
- Aleph editing consumes credits quickly
- No dedicated start/end frame mode
Best for
Editors working with real footage as their primary input.
4. DeeVid AI
DeeVid’s multimodal input is unusually broad—text, image, existing video, and audio can all be prompt inputs to the AI Director agent. Audio prompts are particularly rare in this category and enable workflows like “generate video that matches this soundtrack.”
Input capabilities
Text-to-video, image-to-video, video-to-video, and audio-to-video prompts. The DeeVid Canvas adds a drag-and-drop editor for post-generation adjustments. Model access covers Sora 2, Veo 3.1, Wan 2.1, Runway, Kling, Hailuo, Vidu, Haiper, Luma, and Pika.
Plans
- Lite — 200 credits, 2 concurrent agents, no 1080p export
- Pro — 600 credits, 5 concurrent agents, 30 parallel tasks, 1080p
- Premium — 3,000 credits, unlimited agents and chats, 50 parallel tasks
Advantages
- Audio-as-input is genuinely unusual
- Agent workflow iterates on multimodal prompts autonomously
- Predictable per-generation credit cost
Limitations
- Lite tier locks out 1080p
- No native start/end frame mode
Best for
Creators building workflows around audio-driven or agent-planned generation.
5. OpenArt
OpenArt’s input model is built around reusable assets. Character Builder saves character inputs across projects, and OpenArt Worlds converts a single image into a navigable 3D environment that can serve as background input for future generations.
Input capabilities
Text-to-video, image-to-video, Character Builder inputs, and OpenArt Worlds 3D environment inputs. Seedance 2.5 supports up to 30-second exports at 1080p with native audio. Model access spans Veo 3.1, Kling 3.0, Sora 2, Wan 2.7, LTX 2.3, PixVerse V6, and Vidu Q3.
Plans
- Starter — 4,000 credits, 8 parallel tasks
- Plus — 12,000 credits, 16 parallel tasks, commercial rights
- Pro — 24,000 credits, 32 parallel tasks
- Wonder — 106,000 credits, unlimited creation
Advantages
- Reusable character and environment inputs
- 3D Worlds is a unique environment-input feature
- Director mode composes scenes from saved inputs
Limitations
- No dedicated V2V mode
- Starter tier restricts commercial use
Best for
Creators building libraries of reusable character and environment inputs.
6. Picsart
Picsart’s input flexibility scales with its 140+ model catalog. The same input—text prompt, portrait, uploaded clip—can be routed through multiple models to compare results, which suits creators still deciding which model handles their input type best.
Input capabilities
Text-to-video, image-to-video, and video-to-video across the full model catalog including Veo 3.1, Runway Gen-4/4.5/Aleph, Kling v2.5–3.0, Seedance 1 Pro/2/2.5, Sora 2/2 Pro, Luma Ray 2, Pika, and Wan. Marc agent plans scenes from multimodal inputs; Reeva handles reel formats.
Plans
- Pro — ~100 Nano Banana Pro images or 83 Seedance 2.5 videos monthly, 100GB storage
- Ultra — all 140+ models unlocked, 300GB per seat, add-on credits that never expire
Advantages
- Test the same input across dozens of models
- MCP + CLI support for scripted input pipelines
- Failed generations refund credits
Limitations
- Input types depend on which model is selected
- Video caps on Pro constrain heavy input testing
Best for
Creators experimenting with which model handles their input type best.
7. Magic Hour
Magic Hour’s input specialties are face swap and lip sync—both take a reference face or reference audio as input and apply it to generated or uploaded video. It’s a narrower input palette but tuned for creator-face and creator-voice workflows.
Input capabilities
Text-to-video, image-to-video, video-to-video via Wan 2.2, face swap input, lip-sync audio input, and voice cloning. Sora 2 supports up to 60-second clips. Model access includes Kling 3.0/2.5, Veo 3.1, LTX 2.3, and Seedance 2.0.
Plans
- Free — 3 generations/day, 3 seconds, 480p, watermarked
- Creator — 144,000 credits/year, 1024px cap, 3 concurrent tasks
- Pro — 300,000 credits/year, 1472px cap, 5 concurrent tasks
- Business — 840,000 credits/year, 4K, unlimited concurrency
Advantages
- Face and voice as primary input types
- 60-second Sora 2 clips
- Credit rollover on annual plans
Limitations
- Face swap is less flexible than full character reference systems
- Free tier is 3-second, 480p, watermarked
Best for
Creators using their own face or voice as the primary input.
8. MakeShot
MakeShot’s input flexibility scales through model access. Its broad catalog and credit rollover suit workflows that iterate the same input—usually text plus a reference image—across dozens of variations to find the strongest output.
Input capabilities
Text-to-video and image-to-video across Veo 3/3.1 Lite/Basic/Premium, Kling 2.5/2.1 Pro/Master, Seedance 2.5 SOTA/1.5 Pro/2.0, Wan 2.5/2.7/3.0, Runway Gen 4, Grok Imagine Video, LTX 2.5 Fast, and MiniMax H3. Image models including Nano Banana Pro/2, Flux Kontext Pro/Max, and Seedream 4.0/5.0 Lite help build reference inputs.
Plans
- Starter — 10,000 credits/year, 1–2 concurrent
- Pro — 32,000 credits/year, 3–4 concurrent
- Unlimited — unlimited credits for base/enhanced models, 90,000 SOTA-only credits
Advantages
- Broad model access for input testing
- Credit rollover supports long input-iteration projects
- Image models for reference-input creation
Limitations
- No dedicated V2V or start/end frame mode
- Input handling depends entirely on selected model
Best for
High-volume iteration on text-plus-image inputs.
9. Invideo AI
Invideo AI’s input model is script-first. The Magic Box interface accepts a rough premise, then generates script, footage, voiceover, subtitles, and music around that input. Length, target platform, and accent are additional input dimensions configured upfront.
Input capabilities
Script input, natural-language editing commands, avatar input via portrait upload, voice-clone input, and a 16-million-item stock library that fills gaps between generated shots. Model access includes Veo 3.1, Seedance 2.5, Kling 3.0, Sora 2, Pixverse, Wan 2.7, and Hailuo.
Plans
- Plus — 750 credits, 4 avatars & voice clones, 100 iStock assets
- Max — 3,900 credits, 16 avatars, 200 iStock assets
- Generative — 8,000 credits, 40 avatars, 1,000 iStock assets
- Elite — 42,500 credits, 200 avatars, 5,000 iStock assets
Advantages
- Script-as-input replaces shot-by-shot prompting
- Stock library input fills gaps in generated footage
- Voice-clone input adds vocal identity
Limitations
- No V2V or start/end frame modes
- Credits expire monthly
Best for
Script-driven creators who want to input a premise, not a shot list.
10. Synthesia
Synthesia’s input flexibility is narrow but deep in one direction: script plus avatar. A written script becomes an avatar performance in 160+ languages, with voice cloning, dubbing, and interactive branching as additional input layers.
Input capabilities
Script input, avatar selection from 240+ presets or a personal digital twin, portrait input for custom avatars, voice-clone input, and interactive elements (clickable CTAs, branching paths, quizzes). Playground pulls in Veo 3 and Gemini Omni for B-roll.
Plans
- Basic (free) — ~10 minutes/month, 9 avatars, watermarked
- Starter — ~120 minutes/year, 125+ avatars, 3 personal avatars
- Creator — ~360 minutes/year, 180+ avatars, API access
- Enterprise — unlimited minutes, SCORM export, 80+ language translation
Advantages
- Script-plus-avatar input is deterministic and reliable
- Interactive-element inputs for non-linear video
- Voice preservation across dubbed languages
Limitations
- No T2V, I2V, V2V, or frame-pair modes
- Input model is presenter-locked
Best for
Script-plus-avatar workflows and multilingual presenter content.
Key Takeaways
- Input flexibility separates real creative tools from prompt boxes. Platforms that accept text, image, video, and frame-pair inputs—DramaPixel, Runway, DeeVid—give creators control that prompt-only tools can’t match.
- Start/end frame is the underrated input mode. DramaPixel and Higgsfield are among the few that expose frame-pair interpolation directly. For planned transitions, product reveals, and choreographed motion, it’s a different creative workflow than prompt generation.
- V2V is diverging into two schools. DramaPixel’s Wan 2.6 preserves motion path while restyling; Runway’s Aleph 2.0 handles prompt-driven edits on real footage. They solve different problems—stylization versus editing—and creators should pick based on which they need.
- Audio and reference inputs matter more than they look. DeeVid’s audio prompt, Higgsfield’s motion reference, and Runway’s Character Reference each unlock workflows that pure text cannot. Multimodal input is where the creative ceiling lifts.
- Model routing hides complexity. DramaPixel and Higgsfield route inputs to the model best suited for that mode, so creators don’t have to learn each model’s quirks. Picsart takes the opposite approach and exposes all 140+ models directly.
Conclusion
Input flexibility is where AI video graduates from novelty to a real production tool. DramaPixel leads because it treats all four major input modes—text, image, video, and start/end frame—as core workflows rather than side features. Higgsfield delivers the strongest cinematographic input control through motion reference and lens simulation. Runway wins on live-footage inputs via Aleph, and DeeVid stands out for accepting audio as a prompt input.
The right platform depends on what the creator brings to the workspace. A director working from storyboards needs start/end frame control. A product marketer starting from a hero image needs strong I2V. An editor restyling live footage needs V2V or Aleph-class editing. A script-driven creator needs script-to-video pipelines. Model access has converged across the industry—input flexibility is now the differentiator that decides which platform actually fits the workflow.