# Good AI Tools

- **Website:** <https://goodaitools.com>
- **Primary alias:** `goodaitools.com`

## Description

<strong>Brand Description: olmOCR</strong>

olmOCR is a cutting-edge, free online tool designed to seamlessly extract text from images, providing users with an efficient and reliable solution for text recognition. Utilizing advanced open OCR technology, olmOCR offers accurate text extraction from common image formats such as JPG and PNG, making it invaluable for anyone needing to convert images into editable, searchable text.

This versatile tool is available across multiple platforms, including a mobile app, Chrome extension, and web application, ensuring accessibility for users on the go. With its user-friendly interface, olmOCR is perfect for professionals, students, and everyday users who require quick and accurate transcription of written content found in photographs and digital images.

In addition to its primary function, olmOCR is part of a broader suite of AI tools featured on Good AI Tools, which aims to enhance user productivity and problem-solving capabilities in various fields. Explore olmOCR for a reliable, efficient means of transforming images into text with utmost ease.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idvYNXRXQx/w/820/h/142/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1782172591374)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Green Waterloo | #0f0e04 | accent |
| Ebony | #101828 | dark |
| White | #ffffff | light |

## Fonts

- Arial — asset _(custom)_
- var(--font-sans) — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idvYNXRXQx/w/1500/h/500/idLceiPNzH.jpeg?c=1bxid64Mup7aczewSAYMX&t=1772980368014)

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_Source: <https://brandfetch.com/goodaitools.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._