FAQ

FAQ

How fast is FlashOCR?

FlashOCR-m achieves 400+ FPS on GPU and 60+ FPS on edge devices with only 1.5M parameters for text recognition.

What character sets are supported?

Any custom charset can be specified. Default is alphanumeric (0-9a-z). You can include uppercase, special characters, or non-Latin scripts.

Can I use my own backbone?

Yes, use the registry system to register custom backbones:

from flashocr.registry import BACKBONES

@BACKBONES.register("my_backbone")
class MyBackbone(nn.Module):
    ...

How to export for mobile?

flashocr export --model best.pth --output model.onnx --simplify

Then convert ONNX to TFLite, CoreML, or NCNN as needed.

What's the difference between CTC and Attention decoder?

• CTC: Faster inference, simpler training, best for fixed-charset recognition
• Attention: Handles variable-length outputs better, more accurate for complex scripts

What's the difference between LoRA variants?

• standard: Classic low-rank adapters
• dora: Better generalization via weight decomposition
• adalora: Automatically adjusts rank per layer
• lora_plus: Different LR for A and B matrices

What data format does FlashOCR expect?

A TSV file with tab-separated image paths and text labels:

image_001.jpg	hello
image_002.jpg	world