Xole AI | Text to Video

Xole AI transforms written text into video content through a pipeline that combines natural language processing with computer vision models

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Xole AI transforms written text into video content through a pipeline that combines natural language processing with computer vision models. You feed in scripts, story outlines, product descriptions, or creative prompts, and the system parses these inputs to identify narrative structure, character descriptions, and scene instructions. The NLP layer extracts context, emotion, and pacing from your text, then passes this data to video generation models that render scenes, characters, and animations matching the parsed narrative.

This software supports multiple AI models for video generation, including veo3, Kling 2.5 Turbo Pro, wan-2.5, Sora-2, and Seedance 1.0 Pro. Each model consumes different amounts of credits based on complexity. For example, veo3 uses 200 to 1,000 credits per video, while wan-2.5 ranges from 250 to 1,500 credits. This variability reflects the computational requirements of different rendering approaches and output resolutions.

Beyond text-to-video, this system processes image inputs and offers editing capabilities. The BG Remover strips backgrounds at 10 credits per image. The Upscaler enhances resolution for 10 credits with aI Eraser removes unwanted elements for 30 credits. Generate models create new images for 30 credits. You can upload your own images and edit them within the system, then incorporate them into video projects.

The credit system is central to how Xole operates. It's not a simple per-video pricing model. Different features and models draw from your monthly credit allocation at different rates. Priority credits don't roll over, they expire at the end of each billing period. This means unused credits vanish rather than accumulating, which affects how you'd plan larger projects across multiple months.

Generation queues limit how many videos you can process simultaneously. The Basic plan allows three concurrent generations, Plus handles six, and Pro offers the largest queue though the exact number isn't specified. This matters for batch processing workflows where you'd want to generate multiple videos from a series of prompts without waiting for each to finish.

Output quality varies by plan tier. Basic subscribers get standard definition video generation. Plus and Pro enable high definition outputs. The free tier includes watermarks on exports, limited credits, and restricted editor access. Paid plans remove watermarks and provide what's described as quality export, though the technical difference between quality and non-quality export isn't detailed.

This system doesn't integrate with external services based on available information. It's a standalone application without documented API access or connections to other software. No mobile app or browser extension exists.

Technical limitations center on the credit economy. The Basic plan provides 9,000 priority credits monthly, equivalent to roughly 300 images but fewer videos depending on which model you use. Plus offers 27,000 credits for approximately 900 images. Pro delivers 90,000 credits for around 3,000 images. The image-to-credit conversion doesn't directly translate to video output since video generation consumes substantially more credits per asset.

Pricing starts at seven dollars monthly for Basic, sixteen dollars for Plus, and forty-eight dollars for Pro. Yearly subscriptions get a 20 percent discount. The free plan exists but functions more as a trial given its watermarking and credit restrictions.

The system's reliance on multiple AI models creates variability in output characteristics and credit consumption that'sn't fully predictable upfront. You can't know exactly how many videos your monthly credits will produce until you select specific models and settings for each project.