私はAI SaaSツール5個をPythonスクリプトに置き換えた—月300ドル節約

Dev.to / 2026/3/26

💬 オピニオンDeveloper Stack & InfrastructureTools & Practical Usage

要点

  • 著者は、有料のAI SaaSサブスクリプション5つ(Jasper、Copy.ai、Otter.ai、Grammarly Pro、Midjourney)を解約し、それらをカスタムPythonスクリプトで置き換えることで、GPTベースの部分の費用を約123ドル/月からおよそ3ドル/月まで削減したと報告している。
  • Jasperのようなツールの再現方法について、OpenAI APIを使って短いコード(プロンプトのテンプレート作成や gpt-4o-mini などのモデル選択)で、マーケティング/コンテンツの下書きを生成する方法を説明している。
  • この記事では、これらの置き換えを「完全なプロダクトや複雑なインフラを必要とする」ものではなく、単純に“自作のラッパーに入れ替える”だけで済む、と位置づけている。
  • 全体としての学びは、多くの一般的なAI SaaSのワークフローは、開発者が制御するツールによって再現でき、プロンプト、モデル、支出に関する透明性を高められるという点にある。
  • 著者は、このアプローチを、LLM APIや関連エンドポイント(例:文字起こし、画像生成)の周りで自動化用のスクリプトを書ける個人向けの、実用的で予算重視の戦略として提示している。

Last year I was paying for:

  • Jasper ($49/mo) — AI content writing
  • Copy.ai ($36/mo) — Marketing copy
  • Otter.ai ($16/mo) — Meeting transcription
  • Grammarly Pro ($12/mo) — Writing assistant
  • Midjourney ($10/mo) — Image generation

Total: $123/month (and that's the cheap plan for each).

In December I cancelled everything and wrote Python replacements. Here's each one.

1. Jasper → OpenAI API (~$3/month)

Jasper is a wrapper around GPT with templates. You can build the same thing in 20 lines.

import openai

def generate_content(topic, style='professional', length=500):
    response = openai.chat.completions.create(
        model='gpt-4o-mini',  # $0.15/1M input tokens
        messages=[
            {'role': 'system', 'content': f'Write {style} content about {topic}. Target {length} words.'},
            {'role': 'user', 'content': f'Write a blog post about: {topic}'}
        ]
    )
    return response.choices[0].message.content

post = generate_content('web scraping best practices 2026')
print(post)

Cost comparison:

  • Jasper: $49/month for ~50K words
  • GPT-4o-mini API: ~$3/month for the same volume
  • Savings: $46/month

2. Copy.ai → Custom Prompt Templates (~$1/month)

Copy.ai's selling point is pre-built templates. You can build a better template system.

TEMPLATES = {
    'ad_copy': 'Write {count} ad variations for {product}. Target audience: {audience}. Include CTA.',
    'email_subject': 'Write {count} email subject lines for {topic}. A/B test friendly. Under 60 chars.',
    'product_desc': 'Write a product description for {product}. Benefits over features. {word_count} words.',
}

def generate_copy(template_name, **kwargs):
    prompt = TEMPLATES[template_name].format(**kwargs)
    return generate_content(prompt)  # reuse function from above

# Generate 5 ad variations
ads = generate_copy('ad_copy', count=5, product='web scraping tool', audience='developers')
print(ads)

Savings: $36/month — and your templates are version-controlled.

3. Otter.ai → Whisper API (~$0.50/month)

Otter charges $16/mo for transcription. OpenAI's Whisper costs $0.006/minute.

from openai import OpenAI

client = OpenAI()

def transcribe(audio_path):
    with open(audio_path, 'rb') as f:
        transcript = client.audio.transcriptions.create(
            model='whisper-1',
            file=f
        )
    return transcript.text

text = transcribe('meeting.mp3')
print(text)

Cost: A 1-hour meeting = $0.36. I have ~5 meetings/month = $1.80.
Savings: $14.20/month

4. Grammarly Pro → LanguageTool (Free)

LanguageTool has a free API that handles grammar, style, and spelling.

import httpx

def check_grammar(text):
    response = httpx.post('https://api.languagetool.org/v2/check', data={
        'text': text,
        'language': 'en-US'
    })
    matches = response.json()['matches']
    for match in matches:
        print(f"Issue: {match['message']}")
        print(f"  Context: ...{match['context']['text']}...")
        if match['replacements']:
            print(f"  Suggestion: {match['replacements'][0]['value']}")
        print()

check_grammar('Their going to the store tommorow. Its going to be great.')

Cost: $0 — the free API handles most use cases. Premium is $2/mo if you need it.
Savings: $12/month

5. Midjourney → Stable Diffusion (Free)

Run Stable Diffusion locally or use free APIs.

import httpx
import base64

def generate_image(prompt, output='output.png'):
    # Using Stability AI free tier or local ComfyUI
    response = httpx.post(
        'http://127.0.0.1:8188/api/generate',  # Local ComfyUI
        json={'prompt': prompt, 'steps': 20}
    )

    image_data = base64.b64decode(response.json()['images'][0])
    with open(output, 'wb') as f:
        f.write(image_data)
    print(f'Saved to {output}')

generate_image('professional blog header, web scraping tools, minimalist')

Alternative: Use the free tier of Leonardo.ai (150 images/day).
Savings: $10/month

Total Savings

Tool Was Paying Now Paying Savings
Jasper → OpenAI API $49 ~$3 $46
Copy.ai → Custom templates $36 ~$1 $35
Otter → Whisper API $16 ~$2 $14
Grammarly → LanguageTool $12 $0 $12
Midjourney → SD/Leonardo $10 $0 $10
Total $123 ~$6 $117/mo

That's $1,404/year saved.

Is It Worth the Effort?

Honestly? Each script took 30-60 minutes to write. The total setup was one Saturday afternoon.

The tradeoff: these scripts don't have pretty UIs. But they're:

  • Version-controlled (git)
  • Customizable (your prompts, your models)
  • Combinable (pipe outputs between tools)
  • Free to share with your team

What AI SaaS tools are you paying for that could be replaced with a script? Genuinely curious — drop your stack in the comments 👇

All code above is on my GitHub. MIT licensed.