AI Summarizer

Commercial usage OK 579 mamodheru Hapana watermark Hapana kumbobvira kushanyira
Model:
+ GPT-5, Claude, Gemini
0 chiratidzo · 0 mazwi
Cohesive prosa kusarudzwa. Anoverenga sechikurumidza nyaya.
~100 tokens per use
_Zvitsva
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Unoda kuwana zviwanikwa? Premium mamodheru (GPT-5, Claude, Gemini) kupa yepamusoro mhando. Ona Plans

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Maitiro ekuisa AI Summarizer

1
Sarudza yako input

Tinya tebhu, wedzera faira, kana kuti nyora zvaunoda. Hapana account yaunoda.

2
Tinya kuumba

Our AI inogadzirisa yako mibvunzo mumasekondi nekushandisa yakanakisa open-source mamodheru.

3
Dhawunirodha & shandisa

Dhawunirodha, kopa kana kugovera yako mhinduro. Yemahara yekushandisa personally uye commercially.

Usashandisa iyi chirongwa kuburikidza neAPI

Automatize iyi chirongwa kubva yako pachako code. OpenAI-inowirirana REST endpoint, Bearer-token auth, hapana zvishoma SDK zvinoda. Token mari inoenzana web interface.

curl -X POST https://api.free.ai/v1/chat/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Summarize this: ..."}]}'

AI Summarizer - FAQ

Summarizer condenses chero block of text - articles, papers, transcripts, briefs, threads - into 5 length presets (TL; DR / Brief / Paragraph / Detailed / ~20% of original) and 5 output styles (Paragraph / Bullets / Table of Contents / Key Points + supporting quotes / Executive Summary). Pick a reading level (8th grade → expert) so the summary lands at the right register, and a target language (auto or 10 majors) if you want the summary translated. Free.ai Summarizer condenses any block of text - articles, papers, transcripts, briefs, threads - into 5 length presets (TL; DR / Brief / Paragraph / Detailed / ~20% of original) and 5 output styles (Paragraph / Bullets / Table of Contents / Key Points + supporting quotes / Executive Summary).

QuillBot inobata pasina kushandisa pamazwi 1,200 uye inobhadharisa $ 9.95 / mo yePremium summarizer. Resoomer inobhadharisa $ 19.99 / mo yemafaira anopfuura 5,000 chars. SMMRY ndeyemahara asi inoshandisa 2008-era yekubvisa sentensi-kutungamira - inotaura zvese mashoko zvakanyorwa, hapana paraphrase. Jasper inounganidza kusarudzwa mu $ 39 + / mo plano. ChatGPT inoita zvakanaka asi inodhura $ 20 / mo ye GPT-4 kuwanikwa. Free.ai inobata kusvika pamazwi 10,000 pakutanga, hapana chivharo chemwedzi, uye iyo prompt inoenderana nechokwadi chekuchengetedza chokwadi / nhamba / zvinyorwa uye haizomboita zvinyorwa.

TL;DR for sharing one Slack line. Brief (2–3 sentences) for an email subject preview or social caption. Paragraph for a meeting recap. Detailed (3–5 paragraphs) when you need the full structure preserved — methodology, findings, conclusion. ~20% of original is the smart choice for variable-length input — it scales the summary to what the source can actually support.

Three anoziva kukundikana modes: (1) Long mapepa pamusoro 10K mazwi nguva dzose kuwana pakati zvakakomberedza zvakaoma kupfuura kumagumo — kuparadzwa muzvikamu zvechokwadi. (2) Numerically yakaoma tenzi (mari ongororo, tsvakurudzo stats) nguva dzose rounds aggressively — nguva dzose ongorora mazita pamusoro pemumiri. (3) Kana mumiri pachayo ambiguous, mufananidzo anogona flatten kuti ambiguity mufalse chokwadi.

Zvikamu zvitatu zvakanyorwa: **Context** (1-2 mashoko ekuita nyaya), **Key Findings** (3-5 actionable bullets), **Recommendation** (kana chete kana chikonzero chichireva chimwe - isu hatisi kuumba rubatsiro).Use iyi yeboard memos, status updates, decision briefs.

The system prompt requires every fact, number, name, date, and citation that survives in the summary to stay verbatim. Inline citations (APA / MLA / footnote markers) are kept where the underlying claim is kept. If a claim gets condensed away, its citation goes with it. For citation- critical work (literacy reviews, legal briefs), use Detailed length and Key Points style so nothing important gets dropped.

Kusvika 10,000 mazwi (anenge 80,000 mavara) pakutanga. Kuti uite PDFs, shandisa /pdf/summarizer/ - inobata kubvisa kwePDF, kubvisa mapeji, uye inotsigira kusvika pa200-peji madokumenti ne premium models. Kuti uite YouTube mavhidhiyo, shandisa /youtube/summarizer/ kuti uite transcript-aware summarization netimestamps.

All 99 Free.ai languages on input. The model auto-detects source language. The output-language picker allows you to translate the summary into any of 10 majors (English, Spanish, French, German, Portuguese, Italian, Dutch, Chinese, Japanese, Arabic). For 89 less-common languages set the picker to Auto and the summary stays in the source language.

Yeah — pedza transcript yakasviba uye sarudza Bullets style + Brief kana Paragraph length. The model handles speaker labels, "uh"s, and crosstalk. For long meetings (60+ minutes) split the transcript by topic for cleaner output. Pair with /text/keyword-extractor/ to pull the action items.

Text is sent to Free.ai's self-hosted GPUs, processed, and discarded after the response. We do not train on user inputs. We log only timestamp + token cost for billing - never the source text. Generation history (if you're logged in) stores a 200-character preview for your dashboard but never the full source.

No - yekutanga kuongorora ndeyamahara, hapana email, hapana kadhi rechikwereti. Sign up for the full 30K/day pool + generation history across all 400+ Free.ai tools, plus higher daily caps and dashboard access.

Yeah. POST to /v1/chat/ with the summarizer system prompt (bearer auth, monthly limits per plan). Useful for integrating summarization into a CMS, Slack bot, or news pipeline. Full snippets at /api/.

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