Text Recognizer Gpu
The text-recognizer-gpu model can be applied in numerous use cases where image-to-text conversion is required. For instance, in document scanning applications, the model can automatically extract text from images of documents to create searchable and editable digital copies. In image annotation tasks, the model can assist in extracting text from images for labeling or categorizing purposes. Additionally, the model can be utilized in real-world scenarios, such as extracting text from images captured by surveillance cameras or extracting text from handwritten notes or posters. Overall, the text-recognizer-gpu model can serve as the underlying technology in various products and applications that involve image-to-text conversion, enhancing efficiency and accuracy in these tasks.
- Cost per run
- Avg run time
- Nvidia T4 GPU
|No other models by this creator|
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Summary of this model and related resources.
|Model Name||Text Recognizer Gpu|
Detects one paragraph of text in an image.
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||No paper link provided|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.00275|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||5 seconds|