# Ollama vs StreamDocs.ai (PDF.co)

Ollama records 9,421,973 monthly visits with +4.3% month-over-month growth and Free, Freemium, Paid pricing. StreamDocs.ai (PDF.co) records 0 monthly visits with 0% growth and Freemium, Free Trial, Paid pricing.

| Metric | [Ollama](https://openaitools.app/tool/ollama) | [StreamDocs.ai (PDF.co)](https://openaitools.app/tool/streamdocs-ai) |
| :--- | :--- | :--- |
| Website URL | https://ollama.com | https://pdf.co |
| Categories | Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | AI API, AI PDF, AI Document Extraction, AI Developer Tools |
| Pricing Model | Free, Freemium, Paid | Freemium, Free Trial, Paid |
| Monthly Visits | 9,421,973 | 0 |
| MoM Growth Rate | +4.3% | 0% |
| Primary Market | China | Global |
| Direct Visits | 4,020,134 | 0 |
| Review Score | 4.8 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | app, open-source, website | Website |

## Ollama

Ollama has become the default way many developers get started with open models. A single install gives you a local server and a command line that pulls model weights, manages versions, and exposes a simple HTTP API on your machine. Because everything runs locally, prompts and responses never leave your computer, which makes it a natural fit for privacy-sensitive prototyping, offline work, and experiments that should not be metered per token.

The project has expanded well beyond a local runtime. Ollama now also serves open models in the cloud, so you can reach larger or more capable checkpoints without owning a high-end GPU. The company reports over nine million monthly installs, more than a billion model downloads, and hundreds of trillions of tokens served, which reflects how widely the tool is embedded in AI developer workflows.

Pricing stays approachable: running models on your own hardware is free and unlimited, while cloud usage is metered per token, with subscription plans for individuals, power users, and teams. Model weights are supplied by the upstream publishers, and Ollama states that prompt and response data are never logged or used for training.

**Pricing & Plans:** Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered.

- **One-command local models:** Install once and pull open-weight models by name; Ollama handles weights, quantization and versioning for you.
- **Local HTTP API and CLI:** A built-in server exposes a straightforward REST API, so scripts, editors and agents can talk to local models with minimal setup.
- **Cloud models for bigger jobs:** Route requests to hosted open models when your laptop cannot hold the checkpoint you need, with per-token pricing and concurrency tiers.
- **Broad model catalog:** Access families such as Llama, Qwen, DeepSeek, Gemma, Mistral and gpt-oss from a single interface.
- **Privacy by default:** Local inference keeps prompts and outputs on your own device, with no logging or training on your data.

**Strengths:** Extremely quick to install and use, with a friendly CLI and API; Local inference means strong privacy and no per-token cost on your own hardware; Wide, actively updated catalog of open-weight models; Cloud option scales to larger models without new hardware

**Limitations:** Local performance depends heavily on your GPU and RAM; Cloud usage is billed per token and large models add up quickly; Advanced serving features are less extensive than dedicated inference servers

[Profile (Markdown)](https://openaitools.app/tool/ollama.md)

## StreamDocs.ai (PDF.co)

StreamDocs.ai no longer operates as a standalone brand: the domain now forwards visitors to PDF.co, the PDF automation platform built by Artifex Software Inc., the company behind the PyMuPDF library. If you arrive at streamdocs.ai you land directly on PDF.co's marketing site, and the same product, credits and pricing apply.

PDF.co is a REST-based web API for document processing. Through a single API key you can extract structured data from PDFs and scans, convert PDFs to Excel, CSV, XML, JSON, HTML or images, merge and split files, fill forms, add watermarks and barcodes, and apply OCR to scanned pages. Because it is low-code, the same endpoints are exposed as no-code connectors for Zapier, Make and thousands of other apps, so business teams can automate document workflows without writing server code.

A notable recent addition is AI-powered invoice parsing: even without templates, the API turns PDF invoices into clean, standardised JSON. PDF.co also offers document classification and archive-ready PDF/A output. The service is trusted by 50,000+ users, is SOC 2 compliant, and is positioned for developers, finance teams and operations staff who need reliable, scriptable document automation.

**Pricing & Plans:** Freemium with a free trial (3,000 credits for one month, no credit card required), then monthly plans: Basic $8.99/mo (16,500 credits), Personal $22.49/mo (37,000 credits), Business 1 $44.99/mo (80,500 credits), Business 2 $89.99/mo (159,850 credits), Business 3 $270/mo (483,000 credits), and custom Enterprise pricing above 500,000 credits. Annual billing saves about 10%.

- **PDF extraction and parsing:** Pull structured data out of PDFs, scans and invoices via REST endpoints, or let AI invoice parsing return standardised JSON without any template.
- **Conversion and OCR:** Convert PDFs to Excel, CSV, XML, JSON, HTML and images, and run OCR on scanned documents to make them searchable and machine-readable.
- **Editing and management:** Merge, split, fill forms, add watermarks, barcodes and stamps, and generate new PDFs programmatically from HTML or templates.
- **3,000+ low-code integrations:** Official connectors for Zapier and Make expose the same API to no-code users, so document workflows can be automated without server-side code.
- **AI document classifier:** Automatically sort and organise incoming PDFs with custom classification rules, streamlining document management at scale.

**Strengths:** Mature, widely used API backed by Artifex and the PyMuPDF team; Broad endpoint coverage, from conversion and OCR to AI invoice parsing; Official no-code connectors for Zapier and Make; Generous free trial with 3,000 credits and no credit card

**Limitations:** Credits are consumed per page or call, so heavy volumes need larger plans; The streamdocs.ai brand is gone, so older bookmarks redirect unexpectedly; Toolkit is broad but each task still needs API plumbing or a no-code recipe

[Profile (Markdown)](https://openaitools.app/tool/streamdocs-ai.md)

## Frequently Asked Questions

### How do Ollama and StreamDocs.ai (PDF.co) compare in monthly traffic?

Ollama has 9,421,973 monthly visits, while StreamDocs.ai (PDF.co) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Ollama has a month-over-month growth rate of +4.3%; StreamDocs.ai (PDF.co) has 0%.

### How does pricing compare?

Ollama: Free, Freemium, Paid. Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered. StreamDocs.ai (PDF.co): Freemium, Free Trial, Paid. Freemium with a free trial (3,000 credits for one month, no credit card required), then monthly plans: Basic $8.99/mo (16,500 credits), Personal $22.49/mo (37,000 credits), Business 1 $44.99/mo (80,500 credits), Business 2 $89.99/mo (159,850 credits), Business 3 $270/mo (483,000 credits), and custom Enterprise pricing above 500,000 credits. Annual billing saves about 10%.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Cloud API gateway providing instant access to thousands of models, trading local hardware privacy for cloud compute. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Open-source platform for building visual agentic workflows and RAG pipelines using local or cloud models. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 3 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Feature-rich self-hosted web chat interface designed to manage and query local models like Ollama. | [.md](https://openaitools.app/tool/open-webui.md) |
| 4 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Privacy-first desktop app focused specifically on local document chat and RAG, unlike Ollama's general-purpose CLI runtime. | [.md](https://openaitools.app/tool/anythingllm.md) |
| 5 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Development framework for connecting local models to external document stores and structured data sources. | [.md](https://openaitools.app/tool/llamaindex.md) |
| 6 | [PDF.ai](https://openaitools.app/tool/pdf-ai) | 387,819 | -5.5% | Freemium, Free Trial | Chat with any PDF and get cited answers instantly | [.md](https://openaitools.app/tool/pdf-ai.md) |
| 7 | [Jan](https://openaitools.app/tool/jan) | 291,894 | -9.6% | Free | Open-source desktop app for running models locally with a graphical interface, but heavier than Ollama's lightweight CLI. | [.md](https://openaitools.app/tool/jan.md) |
| 8 | [Nanonets](https://openaitools.app/tool/nanonets) | 221,826 | -10.6% | Free Trial, Paid, Contact for Pricing | AI agents that run document-heavy business processes end to end | [.md](https://openaitools.app/tool/nanonets.md) |
| 9 | [Veryfi](https://openaitools.app/tool/veryfi-com) | 104,470 | -11.5% | Paid, Contact for Pricing, Free | OCR and multi-modal document extraction APIs with built-in fraud detection | [.md](https://openaitools.app/tool/veryfi-com.md) |
| 10 | [Lemonade](https://openaitools.app/tool/lemonade-ai) | 96,232 | -34.4% | Free | Open-source local AI server supporting multimodal inference including vision and speech, expanding beyond Ollama's text focus. | [.md](https://openaitools.app/tool/lemonade-ai.md) |

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Source: https://openaitools.app/compare/ollama-vs-streamdocs-ai

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
