Who should use OCR Image To Text?

OCR Image To Text is a consumer product built for students, researchers, office workers.

Is OCR Image To Text free?

Yes — OCR Image To Text is free to use.

What platforms does OCR Image To Text run on?

OCR Image To Text runs on the web. It can also be self-hosted.

Is OCR Image To Text still active?

Unverified. OCR Image To Text 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 are alternatives to OCR Image To Text?

Similar projects tracked by PulseGate include Tesseract OCR, EasyOCR, and PaddleOCR.

Who develops OCR Image To Text?

OCR Image To Text is developed by pragnakalp.

How long has OCR Image To Text been around?

OCR Image To Text first shipped in 2023.

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OCR Image To Text

Name: OCR Image To Text
Author: pragnakalp

huggingface.coImage editing

OCR Image To Text is a web app that extracts text from images using various OCR engines, including support for handwritten and printed text. It is useful for students, researchers, and anyone needing to digitize text from images.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

4 features

In the Image editing space, OCR Image To Text takes a focused approach. It focuses on extracting readable text from images containing printed or handwritten words. OCR Image To Text is a consumer product aimed at students, researchers, office workers. OCR Image To Text costs nothing to use. It runs on the web, and it can be self-hosted.

It is developed by pragnakalp, and it first shipped in 2023. Among its 4 catalogued features are OCR extraction, handwritten text recognition, and Multiple OCR engines.

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

OCR extraction
Handwritten text recognition
Multiple OCR engines
Plain text output

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

Indexed10 Jul · 19:16 UTC
pragnakalp/OCR-image-to-text verified against its public source
Source: PulseGate · Open

Frequently asked questions about OCR Image To Text

What does OCR Image To Text do?: OCR Image To Text focuses on extracting readable text from images containing printed or handwritten words. It is catalogued under Image editing on PulseGate.
Who should use OCR Image To Text?: OCR Image To Text is a consumer product built for students, researchers, office workers.
Is OCR Image To Text free?: Yes — OCR Image To Text is free to use.
What platforms does OCR Image To Text run on?: OCR Image To Text runs on the web. It can also be self-hosted.
Is OCR Image To Text still active?: Unverified. OCR Image To Text 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 are alternatives to OCR Image To Text?: Similar projects tracked by PulseGate include Tesseract OCR, EasyOCR, and PaddleOCR.Tesseract OCR EasyOCR PaddleOCR
Who develops OCR Image To Text?: OCR Image To Text is developed by pragnakalp.
How long has OCR Image To Text been around?: OCR Image To Text first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: students, researchers, office workers
Model: B2C
Solves: Extracting readable text from images containing printed or handwritten words.

Registered as

Hugging Face Spaces: pragnakalp/OCR-image-to-text

Developer

pragnakalp

Index record

Identity confidence: High · 95
Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: pragnakalp-ocr-image-to-text-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 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.
Canonical URL: https://huggingface.co/spaces/pragnakalp/OCR-image-to-text

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