Who should use Multimodal OCR?

Multimodal OCR is a consumer product built for students.

Does Multimodal OCR have a free plan?

Yes — Multimodal OCR is free to use.

What platforms does Multimodal OCR run on?

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

Is Multimodal OCR still active?

Unverified. Multimodal 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 Multimodal OCR?

Similar projects tracked by PulseGate include Multimodal OCR3, core OCR, and Multimodal VLM Thinking.

Who develops Multimodal OCR?

Multimodal OCR is developed by prithivMLmods.

When did Multimodal OCR launch?

Multimodal OCR first shipped in 2023.

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Multimodal OCR

Name: Multimodal OCR
Author: prithivMLmods

huggingface.coAI

Multimodal OCR is a web app that allows users to upload images and extract visible text using various AI-powered OCR models. It provides instant results and supports brief instructions, making it useful for students and researchers.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

5 features

Multimodal OCR is an AI project. It focuses on extracting readable text from images quickly and accurately. It is built as a consumer product for students. Multimodal OCR is free to use. It ships for the web, and it can be self-hosted.

It is developed by prithivMLmods, and it first shipped in 2023. Among its 5 catalogued features are image upload, text extraction, and Multiple OCR models.

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

Image upload
Text extraction
Multiple OCR models
Instant results
Instruction input

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 · 18:42 UTC
prithivMLmods/Multimodal-OCR verified against its public source
Source: PulseGate · Open

Frequently asked questions about Multimodal OCR

What is Multimodal OCR?: Multimodal OCR focuses on extracting readable text from images quickly and accurately. It is catalogued under AI on PulseGate.
Who should use Multimodal OCR?: Multimodal OCR is a consumer product built for students.
Does Multimodal OCR have a free plan?: Yes — Multimodal OCR is free to use.
What platforms does Multimodal OCR run on?: Multimodal OCR runs on the web. It can also be self-hosted.
Is Multimodal OCR still active?: Unverified. Multimodal 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 Multimodal OCR?: Similar projects tracked by PulseGate include Multimodal OCR3, core OCR, and Multimodal VLM Thinking.Multimodal OCR3 core OCR Multimodal VLM Thinking
Who develops Multimodal OCR?: Multimodal OCR is developed by prithivMLmods.
When did Multimodal OCR launch?: Multimodal OCR first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: students
Model: B2C
Solves: Extracting readable text from images quickly and accurately.

Registered as

Hugging Face Spaces: prithivMLmods/Multimodal-OCR

Developer

prithivMLmods

Index record

Identity confidence: High · 94.4
Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: prithivmlmods-multimodal-ocr-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/prithivMLmods/Multimodal-OCR

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