Who should use Tesseract OCR?

Tesseract OCR is an open-source project built for students and professionals.

Does Tesseract OCR have a free plan?

Yes — Tesseract OCR is free to use.

What platforms does Tesseract OCR run on?

Tesseract OCR runs on the web. It can also be self-hosted.

Is Tesseract OCR still maintained?

Unverified. Tesseract OCR has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to Tesseract OCR?

Similar projects tracked by PulseGate include EasyOCR, Falcon OCR, and OCR Image To Text.

Who makes Tesseract OCR?

Tesseract OCR is developed by kneelesh48.

When did Tesseract OCR launch?

Tesseract OCR first shipped in 2023.

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Tesseract OCR

Name: Tesseract OCR
Author: kneelesh48

huggingface.coAI & ML

Tesseract OCR is a web-based implementation of the popular open-source OCR engine. Users upload an image, select one or more languages, and receive extracted text. The interface makes the powerful Tesseract library instantly accessible without installation. It is suitable for students, researchers, and anyone needing fast text extraction from scanned documents, photos, or screenshots.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

3 features

Tesseract OCR sits in PulseGate's AI & ML category. Quickly converting text in images into machine-readable format across many languages. Tesseract OCR is an open-source project aimed at students and professionals. Tesseract OCR is free to use. Tesseract OCR is available on the web, and it can be self-hosted.

Behind Tesseract OCR is kneelesh48, and it first shipped in 2023. Key capabilities include Image Upload, Multi-language OCR, and Text Extraction.

Summary written by a language model from the project’s public pages.

Image Upload
Multi-language OCR
Text Extraction

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed31 Jul · 02:35 UTC
kneelesh48/Tesseract-OCR verified against its public source
Source: PulseGate · Open

Frequently asked questions about Tesseract OCR

What does Tesseract OCR do?: Quickly converting text in images into machine-readable format across many languages. It is catalogued under AI & ML on PulseGate.
Who should use Tesseract OCR?: Tesseract OCR is an open-source project built for students and professionals.
Does Tesseract OCR have a free plan?: Yes — Tesseract OCR is free to use.
What platforms does Tesseract OCR run on?: Tesseract OCR runs on the web. It can also be self-hosted.
Is Tesseract OCR still maintained?: Unverified. Tesseract OCR has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to Tesseract OCR?: Similar projects tracked by PulseGate include EasyOCR, Falcon OCR, and OCR Image To Text.EasyOCR Falcon OCR OCR Image To Text
Who makes Tesseract OCR?: Tesseract OCR is developed by kneelesh48.
When did Tesseract OCR launch?: Tesseract OCR first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: students and professionals
Model: Open source
Solves: Quickly converting text in images into machine-readable format across many languages.

Registered as

Hugging Face Spaces: kneelesh48/Tesseract-OCR

Developer

kneelesh48

Live coverage

Identity confidence: High · 89
Indexed: 31 Jul 2026
Lifecycle: Alive
Last seen: 31 Jul 2026

Identity audit (13)

Slug: kneelesh48-tesseract-ocr-huggingface-co
Lifecycle state recorded: 31 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 31 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 31 Jul 2026
Canonical URL: https://huggingface.co/spaces/kneelesh48/Tesseract-OCR

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