# Trba

URL: https://interfaze.ai/models/baudmtrba

[All models](https://interfaze.ai/models)

Trba by baudm, a image-to-text model with OCR capabilities. Understand and compare OCR features, benchmarks, and capabilities.

## Comparison

| Feature | Trba | Interfaze |
| --- | --- | --- |
| Input Modalities | image | image, text, audio, video, document |
| Native OCR | Yes | Yes |
| Long Document Processing | No | Yes |
| Language Support | unknown | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | No | Yes |
| Context Input Size | unknown | 1M |
| Tool Calling | No | Tool calling supported + built in browser, code execution and web search |

### OCR Capabilities

| Feature | Trba | Interfaze |
| --- | --- | --- |
| Text Bounding Boxes | No | Yes |
| Confidence Scores | No | Yes |
| Dense Image Processing | No | Yes |
| Low Quality Images | No | Yes |
| Handwritten Text | No | Yes |
| Charts, Tables & Equations | No | Yes |

### Scaling

| Feature | Trba | Interfaze |
| --- | --- | --- |
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)

View model card on [Hugging Face](https://huggingface.co/baudm/trba)

TRBA model pre-trained on various real [STR datasets](https://github.com/baudm/parseq/blob/main/Datasets.md) at image size 128x32.

Disclaimer: this model card was not written by the original authors.

## Model description

_TODO_

## Intended uses & limitations

You can use the model for STR on images containing Latin characters (62 case-sensitive alphanumeric + 32 punctuation marks).

### How to use

_TODO_

### BibTeX entry and citation info

```
@InProceedings{Baek_2019_ICCV,
author = {Baek, Jeonghun and Kim, Geewook and Lee, Junyeop and Park, Sungrae and Han, Dongyoon and Yun, Sangdoo and Oh, Seong Joon and Lee, Hwalsuk},
title = {What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {10},
year = {2019}
}
```

## Want more deterministic results?

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)