This application processes signature requests through multiple specialized AI models depending on the task. When generating signatures from text prompts, the system takes input like a name or initials and runs it through trained models that understand handwriting characteristics. It does not just convert text to cursive fonts. The models analyze natural handwriting flow, stroke weight variation, and individual character connections to produce authentically unique outputs. You can specify styles during generation like elegant, bold, cursive, or artistic, which adjusts the model's parameters for different visual characteristics.
The signature editor uses natural language processing to modify existing signatures. You can type commands like "make it thicker" or "add more slant" and the system interprets these instructions to adjust stroke weight, angle, or character spacing. This works because the underlying model understands signature attributes as adjustable parameters rather than fixed images. The system processes the command, identifies which visual elements need modification, and regenerates the signature with those changes applied.
For digitizing handwritten signatures from photos, the extraction pipeline handles image preprocessing first. It accepts PNG, JPG, JPEG, and WEBP formats up to 20MB. The AI analyzes the image to identify signature strokes, separates them from backgrounds automatically, and outputs a clean transparent PNG. This involves edge detection, contrast analysis, and background segmentation algorithms that distinguish ink from paper or screen surfaces.
The background remover operates similarly but focuses specifically on creating transparent PNG files from signature images. It uses precision segmentation to isolate signature strokes from any background color or texture. This works better than simple color-based removal because the AI recognizes signature-like shapes and preserves antialiasing along stroke edges.
PDF signing happens entirely in the browser. No server upload required. The application renders PDFs client-side, lets you position signatures, text, or dates, then outputs a modified PDF. This feature consumes zero credits on Pro plans and allows unlimited documents.
Free plan provides 10 credits total. That covers up to 10 signature extractions or 1 signature generation. Standard generation speed applies, and pro Monthly costs $29.99 monthly. Pro Yearly runs $22.50 monthly when billed at $269.99 annually, offering 25% savings. Pro plans include 12,000 yearly credits for extractions and PNG creation, 1,200 credits for generation and editing operations, advanced AI model access, faster processing, high-resolution output, no watermarks, and private generation.
Generation speed matters technically. Standard speed processes requests in queue with other free users. Faster speed on Pro plans prioritizes requests and likely allocates more compute resources per job, reducing wait time from submission to output delivery.
The credit system works differently across features. Extraction and PNG creation consume 1 credit each. Generation and editing consume 10 credits per operation because they require more computational resources and model inference time.
there is no API access documented. No mobile app exists. No browser extension available. No team collaboration features mentioned. The application operates as a standalone web application without third-party integrations.
Maximum file size of 20MB limits what photos you can upload for extraction. Very high-resolution scans might exceed this. Free plan's single generation credit means you get one attempt before needing to upgrade. Standard speed can mean longer waits during peak usage. The system only supports four image formats, so TIFF or other formats need conversion first.
