Andrew Adams
Andrew Adams·Co-Founder & Operations at Wireflow

Text to Video

Turn text prompts into AI-generated videos using visual workflows with multiple model options

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Text to Video
Text to Video with CaptionsOpen workflow

We spent 37+ hours benchmarking AI models for text to video while building Wireflow, documenting which settings and configurations produce the best outputs. The workflow below reflects what we learned.

Built on 750+ internal test generations during development
15+ AI models benchmarked for optimal output quality
50+ configurations tested to find the best defaults

Generate Videos from Text with AI Workflows

Text to video AI converts written prompts or scripts into fully rendered video clips using generative models. Wireflow lets you build text-to-video pipelines by connecting prompt engineering, video generation, captioning, and post-processing nodes on a visual workflow canvas. No coding required.

Choose from multiple video models for different use cases. Short-form social content, product demos, cinematic scenes, and educational explainers each benefit from different generation parameters. Build the pipeline once, then reuse it across projects through AI creative workflows that standardize your output quality.

Text to Video Capabilities

🎬

Multi-Model Video Generation

Access Kling, Veo, Runway, and other video models from one canvas and compare outputs side by side

✍️

Script-to-Scene Conversion

Transform written scripts into scene-by-scene video sequences with automatic prompt structuring

🗣️

Auto Captioning

Generate synchronized captions and subtitles from your text prompts using connected LLM nodes

🔄

Aspect Ratio Control

Output in 16:9, 9:16, or 1:1 formats for YouTube, TikTok, Instagram, and other platforms

📦

Batch Video Generation

Process a list of text prompts into multiple videos through the same pipeline automatically

🔗

Post-Processing Chains

Add upscaling, face restoration, audio overlay, and format conversion after video generation

More Than Just Text to Video

Choose the Right Model

Different video models excel at different styles. Switch between Kling for cinematic shots and Veo for motion graphics in the same pipeline using AI model chaining.

Choose the Right Model

Build Visually, Not Code

Drag video generation, captioning, and processing nodes onto a canvas and connect them. The visual node editor makes complex video pipelines accessible to anyone.

Build Visually, Not Code

Scale with Batch Processing

Feed a spreadsheet of prompts into one workflow and generate dozens of videos overnight. Batch AI generation handles the queue and organizes outputs automatically.

Scale with Batch Processing

Automate End-to-End Pipelines

Connect script generation, video creation, caption overlay, and thumbnail extraction in one automated flow. Pipeline automation runs the full sequence on schedule.

Automate End-to-End Pipelines

Save and Share Templates

Package your text-to-video pipeline as a reusable template that your team can run with one click. Standardize video output across all projects.

Save and Share Templates
Open Platform

Build Any AI Workflow

15+

AI Models Integrated

No Watermarks

Full Commercial License

FAQs

What is text to video AI?
Text to video AI uses generative models to convert written prompts or scripts into video clips. You describe the scene in words and the AI renders it as motion video with coherent movement, lighting, and camera motion.
Which video models can I use?
Wireflow supports Kling, Veo, Runway, and other video generation models. Each model has different strengths for cinematic footage, animation, or fast social content. You can switch models without rebuilding your workflow.
Can I generate videos in different aspect ratios?
Yes. Set the aspect ratio per video node to 16:9 for YouTube, 9:16 for TikTok and Reels, or 1:1 for Instagram. The same text prompt can output multiple ratios in a single batch run.
How long are the generated videos?
Most AI video models generate clips between 3 and 10 seconds per generation. Longer videos are created by generating multiple scenes from a script and combining them in the workflow.
Can I add captions to generated videos?
Yes. Connect an LLM node after your text prompt to generate synchronized SRT captions automatically. The captions match the scene descriptions you provide in your script.
Is batch text to video generation possible?
Yes. Feed a list of prompts from a spreadsheet or CSV into a single workflow. Each prompt generates its own video through the same pipeline, and outputs are organized by filename automatically.
Do I need coding skills to use this?
No. The visual canvas uses drag-and-drop nodes that you connect with edges. All configuration happens through input fields on each node. No command line or programming knowledge is needed.
Can I chain video generation with other AI tools?
Yes. Connect text-to-video with image generation for start frames, upscaling for higher resolution output, LLMs for script writing, and audio models for voiceover in a single pipeline.

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Andrew Adams

Written by

Andrew Adams

Co-Founder & Operations at Wireflow

Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.

Content StrategyClient Operations

Start Generating Videos from Text

Connect AI video models with captioning, upscaling, and post-processing nodes in a visual canvas. Generate single videos or batch process entire script libraries without code.

Start Creating