# OpenAI Platform vs StreamDocs.ai (PDF.co)

OpenAI Platform records 234,678,639 monthly visits with -9.6% month-over-month growth and Paid pricing. StreamDocs.ai (PDF.co) records 0 monthly visits with 0% growth and Freemium, Free Trial, Paid pricing.

| Metric | [OpenAI Platform](https://openaitools.app/tool/openai) | [StreamDocs.ai (PDF.co)](https://openaitools.app/tool/streamdocs-ai) |
| :--- | :--- | :--- |
| Website URL | https://openai.com | https://pdf.co |
| Categories | AI Models, AI API, Large Language Models (LLMs), AI Chatbot | AI API, AI PDF, AI Document Extraction, AI Developer Tools |
| Pricing Model | Paid | Freemium, Free Trial, Paid |
| Monthly Visits | 234,678,639 | 0 |
| MoM Growth Rate | -9.6% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 105,101,079 | 0 |
| Review Score | 4.8 | 4.4 |
| Saved Count | 144 | 0 |
| Supported Platforms | Website | Website |

## OpenAI Platform

While ChatGPT serves end users, openai.com and the OpenAI Developer Platform (developers.openai.com) provide the foundational API, SDKs, and enterprise infrastructure powering thousands of production AI applications worldwide. In late 2026, OpenAI's API catalog is anchored by the GPT-6 and GPT-6.1 model suite—all featuring a 1.05-million-token context window and up to 128K output tokens. The lineup spans GPT-6 Astra for frontier reasoning and mission-critical research, GPT-6.1 Sol for near-Astra intelligence at one-fifth the price, GPT-6.1 Terra for fast visual reasoning and computer use, and GPT-6 Luna for ultra-high-volume, low-latency tasks, alongside specialized models like `gpt-5.3-codex` and `gpt-6-astra-law`.

The OpenAI Platform has evolved well beyond basic chat completion endpoints. Through the unified `v1/responses` API, developers can orchestrate stateful multi-step agents equipped with built-in server-side tools—including live web search, vector file search, code interpreter sandboxes, and GUI computer use—without stitching together external orchestration frameworks. Every flagship model supports configurable reasoning effort (`none`, `low`, `medium`, `high`, `xhigh`, and `max`), strict JSON schema Structured Outputs, and multimodal image/audio inputs, while `gpt-live-1` powers per-second billed speech-to-speech voice agents.

OpenAI bills API usage on a transparent consumption model scaled across usage tiers (Build, Launch, and Grow, scaling up to 40M+ tokens per minute). In 2026, aggressive price cuts on the 6.x generation dropped entry-level intelligence on GPT-6 Luna to $0.10 per million input tokens and $0.50 per million output tokens, while GPT-6.1 Sol runs at $2/$10 and flagship GPT-6 Astra sits at $10/$50. Engineering teams can cut spend by 90% on repeated context using automatic Prompt Caching, save 50% on asynchronous workloads via the Batch API, and enforce regional data residency with a 10% compliance uplift.

**Pricing & Plans:** Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API.

- **GPT-6 & GPT-6.1 Model Lineup with 1.05M Context:** Spanning GPT-6 Astra ($10/$50 per MTok), GPT-6.1 Sol ($2/$10), GPT-6.1 Terra ($1/$5), and GPT-6 Luna ($0.10/$0.50), all with a 1,050,000-token context window and 128K max output.
- **Configurable Reasoning Effort Controls:** Tune thinking token budgets per API request across six granularity levels (`none`, `low`, `medium`, `high`, `xhigh`, `max`) to balance latency, accuracy, and cost.
- **Responses API & Native Computer Use Tools:** Combine model inference with hosted web search, file search, function calling, and autonomous GUI computer-use actions in a single stateful API call.
- **GPT-Live-1 Realtime Voice API:** Build ultra-low-latency multimodal voice agents billed per second ($0.05/minute) without rounding up to whole minutes.
- **90% Prompt Caching Discount & Batch API:** Cached input tokens bill at just 10% of standard input rates, while asynchronous 24-hour Batch API jobs cut both input and output token costs by 50%.

**Strengths:** 100-fold cost flexibility from GPT-6 Luna ($0.10/$0.50 per 1M tokens) up to frontier GPT-6 Astra ($10/$50 per 1M tokens); Unified 1.05M-token context window and 128K output limit across the entire flagship GPT-6 and GPT-6.1 family; 90% discount on cached input tokens and 50% Batch API discount dramatically reduce production inference bills; Industry-standard SDKs, Structured Outputs, and built-in Responses API tools minimize boilerplate agent code

**Limitations:** Long-context requests exceeding the standard window threshold trigger roughly 2x higher per-token billing rates; Flagship GPT-6 Astra ($10 input / $50 output per 1M tokens) is significantly more expensive than Claude Opus 5.5 ($4/$20) and Grok 4.7 ($2/$6); Regional data residency endpoints incur a 10% price uplift on models released after March 2026

[Profile (Markdown)](https://openaitools.app/tool/openai.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 OpenAI Platform and StreamDocs.ai (PDF.co) compare in monthly traffic?

OpenAI Platform has 234,678,639 monthly visits, while StreamDocs.ai (PDF.co) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

OpenAI Platform has a month-over-month growth rate of -9.6%; StreamDocs.ai (PDF.co) has 0%.

### How does pricing compare?

OpenAI Platform: Paid. Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API. 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 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Provides direct API access to Google's Gemini models with generous free prototyping tiers, but lacks OpenAI's ecosystem breadth. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 2 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Unifies hundreds of third-party models under a single API key, offering greater model choice than OpenAI's curated catalog. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 4 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Provides developer APIs for Zhipu AI's proprietary GLM models, serving as an alternative enterprise foundation model stack. | [.md](https://openaitools.app/tool/bigmodel.md) |
| 5 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Optimized for lightning-fast serverless execution of generative media and image models, rather than general text LLMs. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Specializes in high-performance serverless inference and dedicated GPU clusters for open-source models, bypassing closed commercial restrictions. | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Focuses heavily on running and fine-tuning open-source vision and language models via simple APIs, unlike OpenAI's hosted closed models. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 8 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | One OpenAI-compatible API for 500+ image, video, audio, and LLM models | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Delivers ultra-low-cost serverless inference for open-weight models, though with fewer enterprise orchestration tools than OpenAI. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [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) |

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

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