Try NVIDIA NIM APIs

Search Results

Searching for: OCR

Sorting by Most Recent

Multi-modal vision-language model that understands text/img and creates informative responses

Generates future frames of a physics-aware world state based on simply an image or short video prompt for physical AI development.

SAM 2 is a segmentation model that enables fast, precise selection of any object in any video or image.

Model for table extraction that receives an image as input, runs OCR on the image, and returns the text within the image and its bounding boxes.

Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A

AI-powered search for OpenUSD data, 3D models, images, and assets using text or image-based inputs.

OCDNet and OCRNet are pre-trained models designed for optical character detection and recognition respectively.

Lightweight language model deployable on laptop, desktop or the cloud for summarization and reasoning.

Generate BAM output given one or more pairs of FASTQ files, by running BWA-MEM & GATK best practices.