Who should use Qwen3vl Resume Parser?

Qwen3vl Resume Parser is an open-source project built for recruiters, HR professionals, and developers building recruitment tools.

Is Qwen3vl Resume Parser free?

Yes — Qwen3vl Resume Parser is open source under the Open Source license and free to use.

What platforms does Qwen3vl Resume Parser run on?

Qwen3vl Resume Parser runs on the web, the command line, and API.

Is Qwen3vl Resume Parser still active?

Unverified. Qwen3vl Resume Parser 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 Qwen3vl Resume Parser?

Similar projects tracked by PulseGate include Qwen3 30B A3B, Qwen3 14B, and Qwen3.5 397B A17B.

Who develops Qwen3vl Resume Parser?

Qwen3vl Resume Parser is developed by sukhrobnurali.

How long has Qwen3vl Resume Parser been around?

Qwen3vl Resume Parser first shipped in 2024.

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Qwen3vl Resume Parser

Name: Qwen3vl Resume Parser
Author: sukhrobnurali

huggingface.coInfrastructure

This model is a fine-tuned version of Qwen-VL designed specifically for resume parsing. It can process resume images or PDFs and extract structured data such as experience, education, skills, and contact information. The model uses multimodal capabilities to understand both text and layout.

Open SourceWebCLIAPI

Visit huggingface.co

Overview

3 features

Qwen3vl Resume Parser is a Foundation models & chat project. Automatically extracting structured information from resume documents using vision-language models. It is built as an open-source project for recruiters, HR professionals, and developers building recruitment tools. The project is open source (Open Source). It ships for the web, the command line, and API.

Behind Qwen3vl Resume Parser is sukhrobnurali, and it first shipped in 2024. Among its 3 catalogued features are Resume Parsing, Document Understanding, and Multimodal Processing. It exposes integrations via a public API.

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

Resume Parsing
Document Understanding
Multimodal Processing

Built with & integrations

Hosting

AWS

AI providers

local_oss

Connectors

API

Runs on

BrowserCLIAPI-only

Detected from

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

Trust & compliance

License

Open Source

Verified signals

HTTPSPrivacy Policy Terms of Service Open SourceFree tierGitHub

Legal

Indexing history

What PulseGate has recorded for this listing

Indexed2 Aug · 17:49 UTC
sukhrobnurali/qwen3vl-resume-parser verified against its public source
Source: PulseGate · Open

Frequently asked questions about Qwen3vl Resume Parser

What does Qwen3vl Resume Parser do?: Automatically extracting structured information from resume documents using vision-language models. It is catalogued under Foundation models & chat on PulseGate.
Who should use Qwen3vl Resume Parser?: Qwen3vl Resume Parser is an open-source project built for recruiters, HR professionals, and developers building recruitment tools.
Is Qwen3vl Resume Parser free?: Yes — Qwen3vl Resume Parser is open source under the Open Source license and free to use.
What platforms does Qwen3vl Resume Parser run on?: Qwen3vl Resume Parser runs on the web, the command line, and API.
Is Qwen3vl Resume Parser still active?: Unverified. Qwen3vl Resume Parser 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 Qwen3vl Resume Parser?: Similar projects tracked by PulseGate include Qwen3 30B A3B, Qwen3 14B, and Qwen3.5 397B A17B.Qwen3 30B A3B Qwen3 14B Qwen3.5 397B A17B
Who develops Qwen3vl Resume Parser?: Qwen3vl Resume Parser is developed by sukhrobnurali.
How long has Qwen3vl Resume Parser been around?: Qwen3vl Resume Parser first shipped in 2024.

At a glance

Pricing: Open Source
Platforms: Cli · Web
Languages: English
Open source: Yes (GitHub)
License: Open Source
Built for: recruiters, HR professionals, and developers building recruitment tools
Model: Open source
Solves: Automatically extracting structured information from resume documents using vision-language models.

Registered as

GitHub: sukhrobnurali/resume-trainer
Hugging Face: sukhrobnurali/qwen3vl-resume-parser

Developer

sukhrobnurali

GitHub

Open source

View on GitHub

Live coverage

Identity confidence: Medium · 70.4
Indexed: 2 Aug 2026
Lifecycle: Alive
Last seen: 2 Aug 2026

Identity audit (13)

Slug: sukhrobnurali-qwen3vl-resume-parser-huggingface-co
Lifecycle state recorded: 2 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 2 Aug 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: Derived from the model's own Hugging Face metadata.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 5 Aug 2026
Canonical URL: https://huggingface.co/sukhrobnurali/qwen3vl-resume-parser

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